Positioning measurement method, electronic equipment and computer readable storage medium

Abstract

The invention provides a positioning measurement method, electronic equipment and a computer readable storage medium. The positioning measurement method comprises the following steps: a target device determines a first starting moment of sampling measurement; the first starting moment is sent to the target equipment by the network entity, or the first starting moment is determined by the target equipment based on capability information of the target equipment; the first starting moment is one item in the starting moment set; the starting moment set comprises a plurality of third starting moments, and the third starting moments are related to the reference moment or the first path; the target equipment executes sampling measurement based on the first starting moment to obtain a measurement result; the measurement result comprises power information corresponding to a target sampling moment in the target time domain window, or the measurement result comprises power information and phase information corresponding to the target sampling moment in the target time domain window; the starting moment of the target time domain window is a first starting moment; measurement results are used for life cycle management of the positioning model.

Description

Technical Field

[0001] The present application relates to the field of communication technology, and in particular to a positioning measurement method, an electronic device, and a computer-readable storage medium. Background Art

[0002] Positioning is one of the important applications of mobile communication networks such as the 4th generation mobile communication technology (4G), the 5th generation mobile communication technology (5G) and the 6th generation mobile communication technology (6G). By measuring and calculating the signals between the mobile network and the terminal device, the real location of the terminal device can be known. In 5G and future communication networks, artificial intelligence (AI) / machine learning (ML) technology can be used to locate the terminal device. AI / ML technology uses AI / ML positioning models to locate the terminal device. When the AI / ML positioning model is located on the network side, the terminal device or base station needs to send the measurement data to the network side so that the network entity on the network side (such as the location management function entity LMF (LMF)) processes the received measurement data and uses the processed measurement data as the input data of the AI / ML positioning model for the training, reasoning, monitoring and other aspects of the positioning model life cycle management of the AI / ML positioning model. Based on the measurement data sent by the terminal device or base station, the AI / ML positioning model can complete the positioning service for the terminal device.

[0003] In the prior art, traditional methods based on uplink time difference of arrival (UL-TDOA), downlink time difference of arrival (DL-TDOA), angle of arrival (AoA), and angle of departure (AoD) are widely used for positioning. These methods can provide high positioning accuracy under line of sight (LOS) conditions, but in complex environments with many obstructions (such as factories, underground facilities, etc.), the positioning accuracy of terminal equipment is low due to factors such as multipath effects.

[0004] The use of a positioning method based on an AI / ML positioning model can effectively improve the positioning accuracy of terminal devices. However, before using the AI / ML positioning model to locate the terminal device, it is necessary to select or set the AI / ML positioning model according to different deployment scenarios, actual needs, and technical limitations. These differences put forward new requirements for the measurement data used for AI / ML positioning model management. Therefore, there is an urgent need for a positioning measurement method for AI / ML positioning models, which can improve the positioning accuracy of the AI / ML positioning model for terminal devices by enhancing the measurement data sent by the terminal device or base station to the network side. Summary of the invention

[0005] The present application provides a positioning measurement method, an electronic device and a computer-readable storage medium to solve the problem of low positioning accuracy of terminal devices in complex environments with many obstructions in the prior art.

[0006] In a first aspect, the present application provides a positioning measurement method, the method comprising:

[0007] The target device determines a first starting time of sampling measurement; the first starting time is sent by a network entity to the target device, or the first starting time is determined by the target device based on its own capability information; the capability information is used to indicate a second starting time supported by the target device; the first starting time is one item in a starting time set; the second starting time is at least one item in the starting time set; the starting time set includes multiple third starting times, and the third starting time is related to a reference time or a first path; wherein the target device is a base station or a user equipment UE;

[0008] The target device performs sampling measurement based on the first starting time to obtain a measurement result; the measurement result includes power information corresponding to the target sampling time in the target time domain window, or the measurement result includes the power information and phase information corresponding to the target sampling time in the target time domain window; the starting time of the target time domain window is the first starting time; the measurement result is used for the life cycle management of the positioning model; wherein the positioning model is an artificial intelligence AI model or a machine learning ML model.

[0009] In a possible design, each of the third starting moments is one of the first reference moment, the second reference moment, the first sampling moment, the second sampling moment, and the third sampling moment;

[0010] The first reference time is the sum of the reference time and a fixed time offset value;

[0011] The second reference time is the sum of the reference time and a configurable time offset value, and the configurable time offset value is a time offset value corresponding to any time offset option in a time offset configuration sequence; wherein the time offset configuration sequence includes multiple time offset options, and the multiple time offset options respectively correspond to different time offset values;

[0012] The first sampling time is the sampling time corresponding to the first path;

[0013] The second sampling time is a fourth sampling time having the smallest difference with the first sampling time; wherein the fourth sampling time is a sampling time preset in the target time domain window;

[0014] The third sampling time is a fourth sampling time that is before the first sampling time and has the smallest difference with the first sampling time.

[0015] In one possible design, when the first starting moment is when the network entity sends to the target device, before the target device determines the first starting moment of the sampling measurement, the method further includes:

[0016] The target device receives a first sampling measurement request sent by a network entity, wherein the first sampling measurement request includes the first starting time and a target identifier; the first sampling measurement request is used to request the target device to use the first starting time as the starting time of the target time domain window, and to perform the sampling measurement indicated by the target identifier; wherein the sampling measurement indicated by the target identifier includes at least one of a channel impulse response CIR measurement, a power delay spectrum PDP measurement, and a delay spectrum DP measurement.

[0017] In one possible design, when the first starting moment is when the network entity sends to the target device, before the target device determines the first starting moment of the sampling measurement, the method further includes:

[0018] The target device receives a configuration message sent by a network entity, where the configuration message includes the first starting time; the configuration message is used to instruct the target device to configure the first starting time as the starting time of the target time domain window;

[0019] The target device receives a second sampling measurement request sent by a network entity, where the second sampling measurement request includes a target identifier; wherein the second sampling measurement request is used to request the target device to perform sampling measurement indicated by the target identifier.

[0020] In one possible design, when the first start time is the second reference time, the first sampling measurement request or the configuration message includes the reference time and the time offset configuration sequence;

[0021] After the target device determines a first starting time of sampling measurement, the method further includes:

[0022] The target device sends a first response message to the network entity based on the first sampling measurement request or the configuration message, where the first response message includes the time offset option configured by the target device in the time offset configuration sequence.

[0023] In one possible design, the method further includes:

[0024] The target device receives a measurement capability request sent by a network entity, where the measurement capability request is used to request the target device to send the capability information;

[0025] The target device sends a second response message to the network entity based on the measurement capability request, where the second response message includes the capability information; wherein the first start time is determined by the network entity based on the second response message.

[0026] In a possible design, when the first starting time is determined by the target device based on its own capability information, before the target device determines the first starting time of the sampling measurement, the method further includes:

[0027] The target device receives a third sampling measurement request sent by a network entity, where the third sampling measurement request includes a target identifier; the third sampling measurement request is used to request the target device to perform sampling measurement indicated by the target identifier;

[0028] After the target device determines the first starting time based on its own capability information, the method further includes:

[0029] The target device sends a third response message to the network entity based on the third sampling measurement request, where the third response message includes the first starting time determined by the target device.

[0030] In a possible design, the target device performs sampling measurement based on the first starting time to obtain a measurement result, including:

[0031] The target device determines a plurality of fourth sampling moments in the target time domain window based on the first starting moment and the target sampling granularity, and the target number of sampling moments in each time domain window; wherein the target sampling granularity is used to indicate the time interval between two adjacent fourth sampling moments in the plurality of fourth sampling moments;

[0032] The target device performs sampling measurement based on the multiple fourth sampling moments to obtain measurement information corresponding to the multiple fourth sampling moments respectively; wherein the measurement information includes power information, or the measurement information includes the power information and phase information;

[0033] The target device determines a target sampling moment among the plurality of fourth sampling moments according to a preset rule, and obtains measurement information corresponding to the target sampling moment.

[0034] In a second aspect, the present application provides a positioning measurement device, including: a memory and at least one processor;

[0035] The memory stores computer-executable instructions;

[0036] The at least one processor executes the computer-executable instructions stored in the memory, so that the at least one processor performs the method described in the first aspect or various possible designs of the first aspect.

[0037] In a third aspect, the present application provides an electronic device, characterized in that it includes: a memory and at least one processor;

[0038] The memory stores computer-executable instructions;

[0039] The at least one processor executes the computer-executable instructions stored in the memory, so that the at least one processor performs the method described in the first aspect or various possible designs of the first aspect.

[0040] In a fourth aspect, the present application provides a computer-readable storage medium, in which computer execution instructions are stored. When the computer execution instructions are executed, the method described in the first aspect or various possible designs of the first aspect are implemented.

[0041] In the positioning measurement method provided in the embodiment of the present application, the target device first determines the first starting time of the sampling measurement, and then performs channel measurement and processing based on the first starting time to obtain a measurement result for inputting into the positioning model. Among them, the first starting time can be sent by the network entity to the target device, or it can be determined by the target device based on its own capability information. By determining the first starting time, the starting time of the sampling measurement can be unified to ensure that different target devices perform channel measurement under the same time reference, thereby avoiding the problem of inconsistent measurement results caused by different starting times of the sampling measurement, and providing a stable and consistent data basis for the life cycle management of the positioning model. At the same time, the selection of the first starting time supports multiple options, which is convenient for obtaining measurement results containing richer channel characteristics (such as time domain characteristics, power characteristics, phase characteristics, etc.), which provides more accurate input data for the positioning model, can effectively improve the positioning accuracy of the positioning model, and solve the problem of low positioning accuracy of terminal devices in complex environments with more obstructions. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 A schematic diagram of a scenario in which a mobile communication system according to an embodiment of the present application realizes terminal device positioning;

[0043] Figure 2 An example flow chart of an existing UL-TDOA positioning method provided in an embodiment of the present application;

[0044] Figure 3 A flowchart of a positioning measurement method provided in an embodiment of the present application;

[0045] Figure 4 A schematic diagram of a flow chart of another positioning measurement method provided in an embodiment of the present application;

[0046] Figure 5 Schematic diagram of the flow of the positioning measurement method corresponding to the first embodiment provided in the present application

[0047] Figure 6 A flowchart of a positioning measurement method corresponding to Embodiment 3 provided in the embodiments of the present application;

[0048] Figure 7 A flowchart of a positioning measurement method corresponding to Embodiment 4 provided in the embodiments of the present application;

[0049] Figure 8 A flowchart of a positioning measurement method corresponding to Embodiment 5 provided in the embodiments of the present application;

[0050] Fig. 9 A flowchart of a positioning measurement method corresponding to Embodiment 6 provided in the embodiments of the present application;

[0051] Fig.10 A flowchart of a positioning measurement method corresponding to Embodiment 7 provided in the embodiments of the present application;

[0052] Fig.11 A flowchart of a positioning measurement method corresponding to Embodiment 2 provided in the embodiments of the present application;

[0053] Fig.12 A schematic diagram of the structure of a positioning measurement device provided in an embodiment of the present application;

[0054] Fig.13 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0055] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0056] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by technicians in the technical field to which this application belongs; the terms used in the specification of the application are only for the purpose of describing specific embodiments and are not intended to limit this application; the terms "including" and "having" and any variations thereof in the specification, claims and drawings of this application are intended to cover non-exclusive inclusions.

[0057] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase "embodiments" in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0058] The term "and / or" in this article is only a description of the association relationship of the associated objects, indicating that three relationships can exist. For example, A and / or B can mean: A exists, A and B can exist at the same time, and B exists. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0059] In addition, the terms "first", "second", etc. in the specification and claims of this application or the above-mentioned drawings are used to distinguish different objects rather than to describe a specific order, and may explicitly or implicitly include one or more of the features.

[0060] In the description of this application, unless otherwise specified, "multiple" and "at least two" mean more than two (including two). Similarly, "multiple groups" and "at least two groups" mean more than two groups (including two).

[0061] In the description of this application, it should be noted that, unless otherwise clearly specified and limited, the terms "connected" and "connection" should be understood in a broad sense. For example, "connected" or "connection" can refer to not only physical connection, but also electrical connection or signal connection. For example, it can be directly connected, that is, physically connected, or indirectly connected through at least one intermediate element, as long as the circuit is connected, or it can be the internal connection of two elements; signal connection can refer to signal connection through a circuit or through a media medium, such as radio waves. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0062] In order to make those skilled in the art better understand the present application, the technical solutions in the embodiments of the present application will be described clearly and completely in conjunction with the accompanying drawings. It should be noted that different technical features in the present application can be combined with each other without conflict.

[0063] First, the terms involved in one or more embodiments of this specification are explained.

[0064] In wireless communication and positioning systems, Channel Impulse Response (CIR) measurement, Power Delay Profile (PDP) measurement, and Delay Profile (DP) measurement are three common channel measurement forms, which are used to describe the characteristics of the signal transmitted by the transmitter (such as the terminal device) during the propagation process, and help determine the channel quality and positioning accuracy.

[0065] CIR refers to the time domain response of the signal transmitted by the transmitter after passing through the wireless channel and received by the receiver (such as the next generation Node B (gNB) or terminal equipment). Through CIR, we can observe information such as delay and gain on different paths during signal propagation. It is usually expressed as a series of pulses. The time delay information, power information, and phase information contained in these pulses are particularly important for positioning systems because this series of pulses can be used to estimate the position of the transmitter.

[0066] PDP is another form of CIR. PDP indicates the power distribution of the signal transmitted by the transmitter at different delays. PDP shows the power of the signal received by the receiver at each delay moment and is used to analyze the multipath effect of signal propagation. PDP is usually in the form of the square (power) of CIR, or in the form of the square root (absolute value). PDP can show the energy distribution of the signal arriving at different delays. Through PDP, the time delay relationship between the main path and multipath signals can be determined, providing valuable time information for the positioning system.

[0067] The main path refers to the line-of-sight LOS path, which is the shortest path for signals to directly reach the receiver from the transmitter. This path has no or only a small amount of reflection, refraction and other effects, so the transmission delay is minimal and the signal arrives the earliest.

[0068] Multipath signals refer to the situation where a signal reaches the receiver from the transmitter through multiple non-line-of-sight (NLOS) paths. Non-line-of-sight paths may be formed by reflection, refraction, or scattering from objects such as walls, the ground, and buildings. Each non-line-of-sight path is longer than the main path, so the signal will arrive slightly later, and the signal strength will usually be weakened due to energy loss caused by reflection and refraction.

[0069] DP refers to the arrival distribution of the signal transmitted by the transmitter at different delay times. It is a more simplified form of delay distribution. Similar to PDP, DP focuses more on displaying the delay time information of the signal path, rather than emphasizing the power of each path. DP is usually used to help the positioning system more simply estimate the delay relationship of signal arrival, and then locate the transmitter.

[0070] The following is an introduction to the implementation background of the technical solution provided in the embodiments of the present application.

[0071] Figure 1 A schematic diagram of a scenario in which a mobile communication system according to an embodiment of the present application realizes terminal device positioning. Figure 1 As shown, the existing mobile communication system includes: LMF101, TRP102, TRP103, TRP104 and terminal device 105, Figure 1 In the example, three TRPs are used as an example. It should be understood that more or fewer TRPs can be deployed in the mobile communication system and are not limited to three. Figure 1 This is only an example and is not intended to limit the architecture of the mobile communication system.

[0072] Among them, the positioning function entity LMF (Location Management Function, LMF) 101 is mainly responsible for selecting the positioning method and triggering positioning-related measurements, and can calculate the positioning results and accuracy. TRP102, TRP103, and TRP104 are mainly responsible for sending the downlink positioning reference signal (Positioning Reference Signal, PRS) used for positioning and receiving the uplink reference signal from the terminal device 105, such as the uplink sounding reference signal (Sounding Reference Signal, SRS) or the uplink positioning SRS. A base station can manage one or more TRPs. For example, in a 5G scenario, a 5G base station (such as a next-generation base station gNB) can control multiple TRPs. The LMF and the base station can transmit positioning-related data based on the new air interface positioning protocol (NRPPa), and the terminal device 105 and LMF101 can transmit positioning-related data based on the LTE positioning protocol (LTE Positioning Protocol, LPP).

[0073] The terminal device 105 may be a wireless terminal, which may be a device that provides voice and / or other business data connectivity to users, a handheld device with wireless connection function, or other processing devices connected to a wireless modem. The wireless terminal may communicate with the LMF via a radio access network (RAN). The wireless terminal may be a mobile terminal, such as a mobile phone (or "cellular" phone) and a computer with a mobile terminal, for example, a portable, pocket-sized, handheld, computer-built-in or vehicle-mounted mobile device, which exchanges language and / or data with the wireless access network. For example, personal communication service (PCS) phones, cordless phones, session initiation protocol (SIP) phones, wireless local loop (WLL) stations, personal digital assistants (PDAs), drones, wearable devices, terminals in the Internet of Vehicles, and other devices. A wireless terminal may also be referred to as a system, a subscriber unit, a subscriber station, a mobile station, a mobile station, a remote station, a remote terminal, an access terminal, a user terminal, a user agent, a user device or user equipment, and a user equipment (UE), without limitation. In addition, the terminal device may use a mobile operating system such as iOS, Android, or Hongmeng, which is not limited in the embodiments of the present application.

[0074] The terminal device may also be a Positioning Reference Unit (PRU). From the perspective of the location server, a PRU is a device with a known location.

[0075] Combination Figure 1 When the mobile communication system shown in the figure realizes terminal equipment positioning, the positioning methods can be divided into two categories according to different positioning reference signals:

[0076] A positioning method is: LMF101 configures one or more TRPs among TRP102, TRP103 and TRP104 to send PRS, the terminal device 105 receives the downlink positioning reference signal (PRS) sent by one or more TRPs and obtains the corresponding measurement results, and uses the measurement results to calculate the positioning result of the terminal device 105.

[0077] Another positioning method is: the terminal device 105 sends an SRS to one or more TRPs, the TRP obtains the corresponding measurement results, and reports the measurement results to LMF101, and LMF101 calculates the positioning results of the terminal device 105 based on the received measurement results.

[0078] In the above interaction process, LMF101 and the base station to which TRP belongs exchange positioning-related data through NRPPa, and LMF101 and the terminal device 105 exchange positioning-related data through the LPP protocol, thereby collaboratively completing the sending and measurement of positioning signals and obtaining the user equipment location.

[0079] Figure 2 This is an example flow chart of the existing UL-TDOA positioning method provided in the embodiment of the present application. Figure 2 As shown, the existing UL-TDOA positioning method includes the following steps:

[0080] S20. Based on NRPPa, each TRP configuration information is exchanged so that LMF can obtain each TRP configuration information.

[0081] S21. Transmit positioning capability based on LPP so that LMF can learn the positioning capability of the terminal device.

[0082] S22. LMF sends a NRPPa-based positioning information request message (NRPPa positioninginformation request) to the serving gNB. The NRPPa-based positioning information request message is used to request the serving gNB to configure the SRS for the terminal device. In addition, the positioning information request message carries a measurement-related configuration request, specifically including: the identifier of the TRP participating in the measurement and the measurement parameter information. The identifier of the TRP participating in the measurement indicates the LMF's request for the configuration of the TRP used in the measurement; the measurement parameter information indicates the LMF's request for the configuration of the measurement method expected to participate in the measurement.

[0083] S23. The serving gNB determines the uplink reference signal configuration of the terminal device.

[0084] S23a, serving gNB configures uplink reference signals for terminal devices.

[0085] S24. The serving gNB sends an NRPPa-based positioning information response message (NRPPa positioninginformation response) to the LMF. The NRPPa-based positioning information response message is used to send the actual SRS configuration of the terminal device to the LMF.

[0086] Next, the uplink reference signal transmission of the terminal device is activated through S25a to S25c.

[0087] S25a, LMF sends a NRPPa-based positioning activation request message (NRPPa positioning activation request) to the serving gNB. The purpose of the positioning activation request message is to instruct the serving gNB to notify the terminal device to activate the uplink reference signal transmission.

[0088] S25b, the serving gNB notifies the terminal device to activate the uplink reference signal transmission.

[0089] S25c, the serving gNB sends a positioning activation response message based on NRPPa (NRPPa positioning activation response) to the LMF. The positioning activation response message is used to respond to the positioning activation request message.

[0090] S26. LMF sends an NRPPa measurement request message (NRPPa measurement request) to each gNB. The measurement request message is used to request each gNB to perform measurement, and the measurement request message will include the actual uplink reference signal configuration of the terminal device.

[0091] LMF sends NRPPa-based measurement request messages to the serving gNB and Neighbour gNB.

[0092] The actual SRS configuration of the terminal device includes information on the data collection mode. The data collection mode can be OnDemand or periodic. OnDemand means that the data collection mode is collected once, and periodic means that the data collection mode is periodic.

[0093] S27. Each gNB performs uplink reference signal measurement.

[0094] S28. Each gNB sends a measurement response message (NRPPa measurementresponse) / measurement report based on NRPPa to each LMF. The measurement response message / measurement report carries the measurement results of each TRP under the gNB.

[0095] If the data collection mode indicated by S26 is OnDemand, the gNB sends the measurement results to the LMF through a measurement response message. If the data collection mode indicated by S26 is periodic, the gNB sends the measurement results to the LMF through a measurement report.

[0096] S29. LMF sends an NRPPa-based positioning deactivation request message (NRPPa positioning deactivation request) to the serving gNB.

[0097] It should be noted that when using the existing positioning method to locate the terminal device, the AI / ML model can be used as a functional module in the existing positioning method to locate the terminal device to improve the positioning accuracy of the terminal device.

[0098] For example, the AI / ML model serves as a positioning function module in LMF to serve the traditional UL-TDOA method.

[0099] In the prior art, traditional methods based on uplink time difference of arrival (UL-TDOA), downlink time difference of arrival (DL-TDOA), angle of arrival (AoA), and angle of departure (AoD) are widely used for positioning. These methods can provide high positioning accuracy under line of sight (LOS) conditions, but in complex environments with many obstructions (such as factories, underground facilities, etc.), the positioning accuracy of terminal equipment is low due to factors such as multipath effects.

[0100] The use of a positioning method based on an AI / ML positioning model can effectively improve the positioning accuracy of terminal devices. However, before using the AI / ML positioning model to locate the terminal device, it is necessary to select or set the AI / ML positioning model according to different deployment scenarios, actual needs, and technical limitations. These differences put forward new requirements for the measurement data used for AI / ML positioning model management. Therefore, there is an urgent need for a positioning measurement method for AI / ML positioning models. By enhancing the measurement data sent by the terminal device or base station to the network side, the positioning accuracy of the AI / ML positioning model for the terminal device can be improved.

[0101] Based on the problems existing in the related art, this application provides a positioning measurement method.

[0102] The target device first determines the first starting time of the sampling measurement, and then performs channel measurement and processing based on the first starting time to obtain a measurement result for input to the positioning model. Among them, the first starting time can be sent by the network entity to the target device, or it can be determined by the target device based on its own capability information. By determining the first starting time, the starting time of the sampling measurement can be unified to ensure that different target devices perform channel measurements under the same time reference, thereby avoiding the problem of inconsistent measurement results caused by different starting times of the sampling measurement, and providing a stable and consistent data basis for the life cycle management of the positioning model; at the same time, the selection of the first starting time supports multiple options, which is convenient for obtaining measurement results containing richer channel characteristics (such as time domain characteristics, power characteristics, phase characteristics, etc.). The measurement results provide more accurate input data for the positioning model, which can effectively improve the positioning accuracy of the positioning model and solve the problem of low positioning accuracy of terminal devices in complex environments with more obstructions.

[0103] Next, some specific embodiments and drawings are used to describe in detail how the present application solves the above-mentioned problem of low positioning accuracy of terminal devices in complex environments with many obstructions.

[0104] Figure 3 A flow chart of a positioning measurement method provided in an embodiment of the present application. Figure 3 As shown, the positioning measurement method provided in the embodiment of the present application specifically includes S301 and S302, and S301 and S302 are described in detail below.

[0105] It should be noted that the executor of the positioning measurement method provided in the embodiment of the present application is a target device, and the target device may be a base station or a UE, and this embodiment does not specifically limit this.

[0106] S301: The target device determines a first starting time of sampling measurement.

[0107] The first starting time is the time reference of the positioning measurement, that is, the time when the target device starts to perform signal sampling measurement.

[0108] Sampling refers to sampling the signal received by the terminal device in time to obtain the data of the signal at a specific moment. Measurement refers to obtaining and analyzing various characteristics of the signal (such as arrival time, signal strength, power, phase, frequency, etc.) based on signal sampling, so as to locate the terminal device based on various characteristics of the signal.

[0109] In the positioning system, the target device will sample and measure the signal at different times. In order to ensure the accuracy of the measurement results obtained by sampling measurement, it is necessary to unify the starting time of sampling measurement and ensure that different target devices perform channel measurement under the same time reference, thereby avoiding the problem of inconsistent measurement results caused by different starting times of sampling measurement, and providing a stable and consistent data basis for the life cycle management of the positioning model. If different target devices perform channel measurement under different time references, the measurement results corresponding to the signals received by different target devices cannot be correctly aligned, which in turn affects the positioning accuracy of the positioning model.

[0110] The starting time set includes a plurality of third starting times, and the third starting time is related to the reference time or the first path.

[0111] It should be noted that the multiple third starting times in the starting time set may be predefined or dynamically determined by the target device according to its own capability, state or measurement environment before performing sampling measurement, and this embodiment does not specifically limit this.

[0112] It should be noted that the reference time refers to a fixed reference time point. The definition of the reference time is an existing definition and will not be described in detail in this embodiment.

[0113] For example, in the uplink positioning scenario where the base station uploads the measurement results to the LMF, the uplink relative arrival time T UL-RTOA Up Link Relative Time of Arrival (UL-RTOA) refers to the time when the SRS signal is received at a certain reception point (RP). This time is relative to the reference time of RTOA.

[0114] The reference time of RTOA is defined as T 0 +t SRS ; Among them, T 0 is a fixed reference time, corresponding to the time when the system frame number is 0; t SRS is a time offset, defined as (10nf+nsf)×10-3 , n f is the system frame number, n sf is the subframe number where the SRS is located; t SRS The calculation formula shows that the reference time of RTOA is a combination of the system frame number and the subframe number.

[0115] In actual use, the location information of the terminal device can be calculated by using the relative relationship between the time when each receiving point receives the SRS signal and the reference time of the RTOA.

[0116] It should be noted that the definition of the first path is an existing definition and will not be repeated in this embodiment.

[0117] The first path in the present application refers to the first path in the measurement result obtained by the target device performing sampling measurement based on the first starting time.

[0118] For any third starting moment among the multiple third starting moments, the third starting moment is related to the reference moment or the first path. By associating the third starting moment with the first path, the influence of factors such as multipath effect on the measurement result can be reduced to a certain extent, so that the measurement result is more dependent on the direct and reliable first path, which helps to accurately capture the channel characteristics during signal propagation, enhance the accuracy of the measurement result, and thus improve the positioning accuracy of the positioning model. In addition, by associating the third starting moment with the reference moment, different target devices can perform sampling measurements under the same time reference, effectively reducing the measurement error caused by the asynchronous sampling moments of multiple target devices or multiple targets, enhancing the accuracy of the measurement result, and thus improving the positioning accuracy of the positioning model.

[0119] The first starting time is an item in the starting time set.

[0120] It should be noted that the first starting time is any one of the multiple third starting times included in the starting time set.

[0121] In the first embodiment of the present application, the first starting time is sent by the network entity to the target device.

[0122] It should be noted that the network entity may be an LMF or other network entity, and this embodiment does not specifically limit this.

[0123] Specifically, LMF selects a third start time from multiple third start times included in the start time set as the first start time on the network side, and sends the selected first start time to multiple target devices as the first start time for the multiple target devices to perform sampling measurement.

[0124] In this embodiment, the first start time sent by the network entity to multiple target devices is unified, which can ensure that different target devices perform channel measurement under the same time reference, avoiding measurement result errors caused by different first start times of sampling measurements performed by each target device, thereby improving the accuracy of subsequent positioning model management.

[0125] In the second embodiment of the present application, the first starting time is determined by the target device based on its own capability information.

[0126] The capability information of the target device is used to indicate the second starting time supported by the target device.

[0127] It should be noted that the capability information of the target device may include the clock accuracy supported by the target device, the time synchronization mode (such as GPS synchronization, network synchronization, etc.), the hardware performance of the target device (such as processing power, memory, etc.), the current state of the target device (such as load condition, network connection state, etc.), etc. The target device can evaluate and obtain the second start time that it can support based on its own capability information, and the second start time is at least one of the multiple third start times included in the start time set.

[0128] The number of the second starting time indicated by the capability information of the target device may be one or more.

[0129] When the number of the second start time is one, the target device uses the only one second start time as the first start time.

[0130] When there are multiple second start times, the target device can randomly select a second start time from the multiple second start times as the first start time, or can select the second start time that best suits the target device from the multiple second start times as the first start time. This embodiment does not make any specific limitations on this.

[0131] For example, the starting time set includes five third starting times, namely, time A, time B, time C, time D and time E. The target device evaluates its own capability information and obtains that the second starting time it can support is time B and time D. At this time, the target device can randomly select a time from time B and time D as the first starting time for sampling measurement.

[0132] In this embodiment, each target device can determine the first start time according to its own capability information to adapt to the performance differences of different target devices. The first start time has high flexibility and reduces the dependence on network entities. In the case of network congestion or unstable signal, the target device can independently select the first start time, thereby reducing the delay or error that may be caused by external network dependence.

[0133] It should be noted that, in the above-mentioned second embodiment, the first starting time determined by different target devices may be the same or different.

[0134] In the case where the first starting moments determined by different target devices are different, the network entity can select a unified time reference point as the global time reference, and convert the first starting moments of the measurement results of all target devices into the unified time reference, thereby ensuring that the measurement results of all target devices are based on the same time reference, so as to provide consistent input data for the positioning model later. In addition, the network entity can also use an interpolation algorithm to interpolate the measurement results of different first starting moments, thereby converting all measurement results into measurement results based on the same first starting moment.

[0135] S302: The target device performs sampling measurement based on the first starting time to obtain a measurement result.

[0136] The measurement result includes power information corresponding to the target sampling time in the target time domain window, or the measurement result includes power information and phase information corresponding to the target sampling time in the target time domain window. The starting time of the target time domain window is the first starting time.

[0137] It should be noted that the target time domain window refers to the time period corresponding to the sampling measurement, and the target time domain window determines the time range in which the target device performs the sampling measurement. By determining the first starting time as the starting time of the target time domain window, it is ensured that the entire sampling measurement is performed under a unified time reference.

[0138] The target time domain window includes multiple target sampling moments.

[0139] The sampling measurement performed by the target device is at least one of CIR measurement, PDP measurement, and DP measurement. When the sampling measurement performed by the target device does not include CIR measurement, that is, the sampling measurement performed by the target device is PDP measurement and / or DP measurement, the measurement result includes power information corresponding to each target sampling moment.

[0140] In the case where the sampling measurement performed by the target device includes CIR measurement, the measurement result includes power information and phase information corresponding to each target sampling time.

[0141] Specifically, the power information corresponding to each target sampling time refers to the strength of the signal at the target sampling time, usually expressed as the amplitude or power level of the signal. The power information corresponding to the target sampling time helps to estimate factors such as the distance of signal transmission and environmental impact.

[0142] It should be noted that, whether it is CIR measurement or PDP measurement, the power value of the signal will be calculated at each target sampling moment to help the target device evaluate the signal attenuation of each path, and then better analyze the channel characteristics. Unlike CIR measurement and DPD measurement, DP measurement focuses on the delay time information of each path in the channel, that is, the delay of each signal path relative to the transmission time, and does not focus on the power of each path. Therefore, in order to simplify the analysis of delay information, in DP measurement, the amplitude at each target sampling moment is usually set to a fixed constant, thereby removing the influence of power differences and making the DP measurement only show the relative delay information of each path. This can effectively simplify the data results and provide more simplified and targeted delay information for positioning and channel analysis.

[0143] The fixed constant can be set manually according to actual needs, and this embodiment does not specifically limit this. For example, the fixed constant can be 1.

[0144] The phase information corresponding to each target sampling moment refers to the fluctuation state of the signal, reflecting the phase change during signal propagation. By including the phase information corresponding to the target sampling moment in the measurement results, the positioning accuracy of the positioning model can be further improved, especially in complex environments with many obstructions. Combining the phase information corresponding to the target sampling moment can better reflect the path characteristics of the signal.

[0145] As the basic characteristics of the signal, power information and phase information can reflect important information such as the signal transmission path and attenuation. The measurement results including time information, power information and phase information are input into the positioning model as input data. The positioning model can self-learn and optimize based on the rich channel characteristics contained in time information, power information and phase information, thereby providing more accurate positioning services in a changing network environment, effectively improving the positioning accuracy of terminal devices in complex environments.

[0146] In this embodiment, by precisely controlling the starting moment of the target time domain window, the power information and phase information in the measurement results can be made more accurate in the time domain relationship. These precise power information and phase information provide high-quality input data for subsequent positioning models, which helps to improve the positioning accuracy of terminal equipment, especially in complex environments. It can effectively reduce positioning errors caused by problems such as obstruction and signal multipath effects.

[0147] The measurement results are used for the lifecycle management of the positioning model, and the positioning model is an artificial intelligence AI model or a machine learning ML model.

[0148] It should be noted that the lifecycle management of the positioning model may include data collection, training or retraining, reasoning, verification or monitoring of the positioning model.

[0149] Figure 4 A flow chart of another positioning measurement method provided in an embodiment of the present application. Figure 4 As shown, at S302, the target device performs sampling measurement based on the first starting time and obtains the measurement result, the method further includes S303, the target device sends the measurement result to the network entity.

[0150] After the network entity receives the measurement result sent by the target device, the network entity processes the received measurement result and uses the processed measurement result as input data of the positioning model to perform life cycle management on the positioning model.

[0151] It should be noted that the processing of the received measurement results by the network entity may include steps such as data correction, filtering, feature extraction, format conversion (for converting data into a form suitable for model input), etc., aiming to improve the quality and accuracy of the data in the measurement results so that they can be better input into the positioning model.

[0152] In the positioning measurement method provided in the embodiment of the present application, the target device first determines the first starting time of the sampling measurement, and then performs channel measurement and processing based on the first starting time to obtain a measurement result for input to the positioning model. Among them, the first starting time can be sent by the network entity to the target device, or it can be determined by the target device based on its own capability information. By determining the first starting time, the starting time of the sampling measurement can be unified to ensure that different target devices perform channel measurement under the same time reference, thereby avoiding the problem of inconsistent measurement results caused by different starting times of the sampling measurement, and providing a stable and consistent data basis for the life cycle management of the positioning model; at the same time, the selection of the first starting time supports multiple options, which is convenient for obtaining measurement results containing richer channel characteristics (such as time domain characteristics, power characteristics, phase characteristics, etc.), and the measurement results provide more accurate input data for the positioning model, which can effectively improve the positioning accuracy of the positioning model and solve the problem of low positioning accuracy of terminal devices in complex environments with more obstructions.

[0153] In the above embodiment, the first starting time is any third starting time in the starting time set, and the second starting time is at least one third starting time in the starting time set. Next, the third starting time in the starting time set is described in detail.

[0154] In a possible embodiment, each third starting time is one of the first reference time, the second reference time, the first sampling time, the second sampling time, and the third sampling time.

[0155] It should be noted that the first starting time is any one of the five options of the first reference time, the second reference time, the first sampling time, the second sampling time, and the third sampling time. The selection of the first starting time depends on the capability of the target device performing the sampling measurement.

[0156] The measurement results obtained by the target device performing sampling measurement are used as input data of the positioning model for training, reasoning or monitoring of the positioning model. When training, reasoning or monitoring the positioning model, it is preferred to set the first starting time of different target devices to the same first starting time to ensure the consistency of the first starting time of sampling measurement performed by different target devices. On the one hand, it can reduce the complexity of positioning model management, and on the other hand, it can also improve the positioning accuracy of the managed positioning model.

[0157] The first reference time is the sum of the reference time and the fixed time offset value.

[0158] It should be noted that the first reference time is obtained by offsetting the reference time by a fixed time offset value.

[0159] The definition of the reference time is detailed in S301 of the above embodiment, and will not be repeated in this embodiment.

[0160] The fixed time offset value is a preset time offset. The fixed time offset value may be set according to specific requirements or standards of the positioning system, and this embodiment does not specifically limit this.

[0161] For example, the fixed time offset value is -0.5 ms, or the fixed time offset value is +0.5 ms.

[0162] In this embodiment, a simplified configuration method is provided to facilitate the implementation and operation of the target device. By defining the first reference moment by offsetting a fixed time offset value based on the reference moment, the complexity of configuring the first start moment of the target device is simplified. In particular, in the implementation of the base station device, the option of the first reference moment can reuse the implementation method related to the uplink reference moment in the traditional positioning method, avoiding the need to design a new algorithm, reducing the difficulty of implementation, and accelerating the development cycle and deployment process of the positioning system.

[0163] The second reference time is the sum of the reference time and a configurable time offset value, and the configurable time offset value is a time offset value corresponding to any time offset option in the time offset configuration sequence.

[0164] It should be noted that the second reference time is obtained by offsetting the reference time by a configurable time offset value. The configurable time offset value is not fixed but is dynamically selected by the target device from a time offset configuration sequence.

[0165] The time offset configuration sequence is a set of time offset options recommended by a network entity to a target device. Before performing sampling measurements, the target device can dynamically select the time offset value corresponding to the appropriate time offset option from the time offset configuration sequence according to its actual needs, current network conditions or device capabilities, and determine the second reference time (i.e., the first starting time) in conjunction with the reference time. By having the network entity recommend the time offset configuration sequence to the target device, it not only provides the target device with a flexible choice space, but also ensures that the target device can optimize the measurement accuracy and synchronization effect in different scenarios.

[0166] In one embodiment, the time offset configuration sequence includes multiple time offset options, and the multiple time offset options correspond to different time offset values ​​respectively.

[0167] The time offset values ​​corresponding to the multiple time offset options in the time offset configuration sequence are arranged in a first preset order. The first preset order can be an order from small to large, or other order, which is not specifically limited in this embodiment.

[0168] The target device can dynamically select a time offset option suitable for the target device from the time offset configuration sequence according to its own capability information, and the time offset value corresponding to the time offset option selected by the target device is the configurable time offset value.

[0169] For example, the time offset configuration sequence includes four time offset options a, b, c, and d. Time offset option a, time offset option b, time offset option c, and time offset option d correspond to different time offset values, respectively. When the target device evaluates, based on its own capability information, that the time offset option supported by the target device is time offset option b, the time offset value corresponding to time offset option b is used as the configurable time offset value.

[0170] In another embodiment, the time offset configuration sequence directly includes a plurality of time offset values.

[0171] The multiple time offset values ​​in the time offset configuration sequence are arranged in a second preset order. The second preset order may be an order from small to large, or may be other orders, which is not specifically limited in this embodiment.

[0172] The target device can dynamically select a time offset value suitable for the target device directly from the time offset configuration sequence as the configuration time offset value according to its own capability information.

[0173] For example, the time offset configuration sequence includes four time offset values ​​of 0.1ms, 0.5ms, 1ms and 1.5ms. The target device evaluates, based on its own capability information, that the time offset value supported by the target device is 1ms, and the configurable time offset value is 1ms.

[0174] In another embodiment, the time offset configuration sequence may further indicate a value range, the value range including a minimum value and a maximum value. The target device may select a real value suitable for the target device from the value range indicated by the time offset configuration sequence as the configurable time offset value according to its own capability information.

[0175] For example, the value range indicated by the time offset configuration sequence is [0, 1023], and the target device can select any real number in [0, 1023] as the configurable time offset value according to its own capability information.

[0176] In this embodiment, by selecting different time offset values ​​in the time offset configuration sequence, the second reference moment can be flexibly adjusted for specific scenarios or target devices, so that the sampling measurement can adapt to different network environments, device performance and measurement requirements, avoiding the problem of being unable to fully collect valid data due to fixed offset values ​​in complex scenarios. In addition, in some application scenarios, the front part of the sampling measurement may contain a large amount of invalid data (data with large signal interference and high errors). These invalid data will increase the burden of subsequent data transmission and data processing, and affect the positioning accuracy of the positioning model. By using the second reference moment, the first starting moment of the sampling measurement can be flexibly adjusted to avoid the influence of invalid data as much as possible, thereby improving the accuracy of the measurement data included in the measurement results.

[0177] By flexibly selecting the configurable time offset value in the second reference moment, the target time domain window can cover more useful time periods, thereby making the measurement results of the sampling measurement contain more useful information, further improving the accuracy and effectiveness of the measurement results.

[0178] In the above embodiment, the configurable time offset value in the second reference time can be flexibly configured in combination with the target number of sampling moments in the target time domain window to reduce the length of the measurement data, reduce redundant data, and improve data transmission efficiency.

[0179] The first sampling time is the sampling time corresponding to the first path.

[0180] The definition of the first path is detailed in S301 of the above embodiment, and will not be repeated in this embodiment.

[0181] In this embodiment, when the target device performs sampling measurement based on the first starting moment, the sampling moment corresponding to the first path is used as the first starting moment of the target time domain window, and the data before the sampling moment corresponding to the first path is discarded. Therefore, the length of data collected by the target device is shortened, which significantly reduces the amount of data that needs to be transmitted and improves data transmission efficiency.

[0182] However, since the sampling measurement uses the sampling moment corresponding to the first path as the first starting moment of the target time domain window, useful data before the sampling moment corresponding to the first path may be discarded. The discarded data may contain information that is helpful for positioning the terminal device; and different target devices (especially UE) may have different detection methods for the first path. Therefore, under the same channel response conditions, different target devices may generate different first starting moments, resulting in different first starting moments corresponding to different target devices, thereby affecting the management accuracy of the positioning model.

[0183] The second sampling moment is a fourth sampling moment having the smallest difference with the first sampling moment, and the fourth sampling moment is a sampling moment preset in the target time domain window.

[0184] It should be noted that the target time domain window includes multiple fourth sampling moments, and the multiple fourth sampling moments are determined based on the first starting moment of the target time domain window, the target sampling granularity, and the target number of sampling moments.

[0185] When there is a sampling time corresponding to the first path among the plurality of fourth sampling times, the first sampling time is the same as the second sampling time.

[0186] When there is no sampling time corresponding to the first path among the multiple fourth sampling times, the first sampling time is the sampling time corresponding to the first path, and the second sampling time is the fourth sampling time among the multiple fourth sampling times that is closest to the sampling time corresponding to the first path.

[0187] In this embodiment, the second sampling moment may be the sampling moment corresponding to the first path, or may be the fourth sampling moment that is before the sampling moment corresponding to the first path and closest to the sampling moment corresponding to the first path, or may be the fourth sampling moment that is after the sampling moment corresponding to the first path and closest to the sampling moment corresponding to the first path. By taking the second sampling moment as the first starting moment of the sampling measurement, the channel information can be fully utilized, so that the measurement result includes more potentially useful data, and the second sampling moment can be aligned with the fourth sampling moment, so as to further improve the accuracy of the measurement result and help improve the positioning accuracy of the positioning model.

[0188] The third sampling time is a fourth sampling time that is before the first sampling time and has the smallest difference with the first sampling time.

[0189] It should be noted that, when there is a sampling time corresponding to the first path among the plurality of fourth sampling times, the first sampling time is the same as the second sampling time, and the third sampling time is the fourth sampling time located before the second sampling time.

[0190] When there is no sampling time corresponding to the first path among the plurality of fourth sampling times, the third sampling time is the fourth sampling time among the plurality of fourth sampling times that is before the sampling time corresponding to the first path and is closest to the sampling time corresponding to the first path.

[0191] In this embodiment, the third sampling moment is the fourth sampling moment among multiple fourth sampling moments, which is located before the sampling moment corresponding to the first path and is closest to the sampling moment corresponding to the first path. By using the third sampling moment as the first starting moment of the sampling measurement, the signal changes before the first path can be captured, which helps to retain the useful data before the first path and improve the accuracy of the measurement results, that is, improve the quality of the input data of the positioning model, thereby enhancing the positioning accuracy of the positioning model and effectively improving the robustness of the positioning model.

[0192] In the above embodiment, when the first starting moment is sent by the network entity to the target device, before the target device determines the first starting moment of the sampling measurement, the first starting moment and the type of sampling measurement that the target device needs to perform can be determined by receiving the first sampling measurement request sent by the network entity. Next, the specific process of the target device receiving the first sampling measurement request sent by the network entity is described in detail.

[0193] It should be noted that, in the above embodiment S301, it has been described that in the first embodiment of the present application, the first starting time is sent by the network entity to the target device.

[0194] Figure 5 The following is a flow chart of a positioning measurement method corresponding to the first embodiment provided in the present application. Figure 5 As shown, in a possible embodiment, before S301, the target device determines the first starting time of sampling measurement, the method further includes step a, and step a is described in detail below.

[0195] Step a: The target device receives a first sampling measurement request sent by a network entity.

[0196] The first sampling measurement request includes a first starting time and a target identifier. The first sampling measurement request is used to request the target device to use the first starting time as the starting time of the target time domain window and perform the sampling measurement indicated by the target identifier.

[0197] It should be noted that the first starting time (any one of the first reference time, the second reference time, the first sampling time, the second sampling time, and the third sampling time) is determined by the network entity according to the third starting time supported by different target devices. By including the first starting time in the first sampling measurement request, the target device can obtain the first starting time by parsing the first sampling measurement request, so as to ensure that different target devices perform channel measurement under the same time reference, avoid measurement result errors caused by different sampling measurement start times of each target device, thereby improving the accuracy of subsequent positioning model management.

[0198] The network entity may determine the third start time supported by different target devices through capability information reported by different target devices, or directly calculate the third start time supported by different target devices according to relevant parameters of different target devices, which is not specifically limited in this embodiment.

[0199] The sampling measurement indicated by the target identifier includes at least one of a channel impulse response CIR measurement, a power delay profile PDP measurement, and a delay profile DP measurement.

[0200] The target identifier is used to indicate the type of sampling measurement that the target device needs to perform.

[0201] When the target identifier indicates CIR measurement, the target device needs to perform CIR measurement; when the target identifier indicates PDP measurement, the target device needs to perform PDP measurement; when the target identifier indicates DP measurement, the target device needs to perform DP measurement; when the target identifier indicates CIR measurement and PDP measurement, the target device needs to perform CIR measurement and PDP measurement; when the target identifier indicates CIR measurement and DP measurement, the target device needs to perform CIR measurement and DP measurement; when the target identifier indicates PDP measurement and DP measurement, the target device needs to perform PDP measurement and DP measurement; when the target identifier indicates CIR measurement, PDP measurement and DP measurement, the target device needs to perform CIR measurement, PDP measurement and DP measurement.

[0202] After receiving the first sampling measurement request sent by the network entity, the target device takes the first starting time as the starting time of the target time domain window based on the indication of the first sampling measurement request, and performs the sampling measurement indicated by the target identifier.

[0203] In an embodiment of the present application, the target device can determine the first starting time of the sampling measurement and the type of sampling measurement by receiving the first sampling measurement request sent by the network entity, thereby ensuring that different target devices accurately collect channel characteristic data related to positioning under the same time reference and obtain measurement results, thereby providing high-quality data support for subsequent positioning models, thereby improving the positioning accuracy of the positioning model for the terminal device.

[0204] Different from the first embodiment, in another possible embodiment, the first sampling measurement request may include a starting time set and a target identifier. In this case, the first sampling measurement request is used to request the target device to select a third starting time as the first starting time from multiple third starting times included in the starting time set according to its actual needs, current network conditions or device capabilities, and to perform sampling measurement indicated by the target identifier with the selected first starting time as the starting time of the target time domain window.

[0205] It should be noted that, when the first sampling measurement request includes a starting time set and a target identifier, after the target device selects a third starting time from multiple third starting times included in the starting time set as the first starting time, the target device also needs to send a feedback message to the network entity to inform the network entity of the first starting time selected by the target device.

[0206] In the above embodiment, when the first starting moment is sent by the network entity to the target device, before the target device determines the first starting moment of the sampling measurement, the target device may also determine the first starting moment by receiving a configuration message sent by the network entity, and determine the type of sampling measurement that the target device needs to perform by receiving a second sampling measurement request sent by the network entity. Next, the specific process of the target device receiving the configuration message and the second sampling measurement request sent by the network entity is described in detail.

[0207] Figure 6 The flowchart of the positioning measurement method corresponding to the third embodiment provided in the present application is shown in FIG. Figure 6 As shown, in the third embodiment of the present application, before S301, the target device determines the first starting time of the sampling measurement, the method further includes step b1 and step b2, and step b1 and step b2 are described in detail below.

[0208] Step b1: The target device receives a configuration message sent by a network entity.

[0209] The configuration message includes the first starting time, and the configuration message is used to instruct the target device to configure the first starting time as the starting time of the target time domain window.

[0210] It should be noted that the configuration message is sent by the network entity to the target device, and the configuration message includes the first start time determined by the network entity according to the third start time supported by different target devices.

[0211] Step b2: The target device receives a second sampling measurement request sent by the network entity.

[0212] The second sampling measurement request includes a target identifier. The second sampling measurement request is used to request the target device to perform the sampling measurement indicated by the target identifier.

[0213] The target identifier in the second sampling measurement request is the same as the target identifier in the first sampling measurement request shown in step a of the above embodiment, and will not be described in detail in this embodiment.

[0214] It should be noted that, by receiving the second sampling measurement request sent by the network entity, the target device can determine the type of sampling measurement to be performed by the target device in S302.

[0215] In the embodiment of the present application, the first starting time of the sampling measurement is sent to the target device through a configuration message, and the type of the sampling measurement is sent to the target device through a second sampling measurement request, so that the target device can determine the first starting time of the sampling measurement based on the configuration message, and determine the type of the sampling measurement based on the second sampling measurement request. Compared with the solution of the first embodiment, the embodiment of the present application can manage the sampling measurement process of the target device more flexibly through a more detailed control method, and provide higher operation accuracy.

[0216] In either the first or third embodiment, the first starting time can be any one of the first reference time, the second reference time, the first sampling time, the second sampling time, and the third sampling time. However, when the first starting time is the second reference time, after receiving the first starting time sent by the network entity, the target device needs to reply to the network entity with the time offset option configured by the target device. Next, the specific process of the target device replying to the network entity with the time offset option configured by the target device is described in detail.

[0217] In a possible embodiment, when the first starting time is the second reference time, the first sampling measurement request or configuration message includes the reference time and a time offset configuration sequence.

[0218] After S301, the target device determines the first starting time of sampling measurement, the method further includes step c, which is described in detail below.

[0219] Step c: The target device sends a first response message to the network entity based on the first sampling measurement request or configuration message.

[0220] Figure 7 A flowchart of a positioning measurement method corresponding to Embodiment 4 provided in the present application is provided. Figure 8 The flowchart of the positioning measurement method corresponding to the fifth embodiment provided in the present application is as follows. Figure 7 and Figure 8 As shown, after S301, the target device determines the first starting time of sampling measurement, the target device executes step c.

[0221] Embodiment 4 of the present application is obtained based on the above-mentioned embodiment 1. In embodiment 4 of the present application, after S301, the target device determines the first starting time of sampling measurement, the target device executes step c, and step c is that the target device sends a first response message to the network entity based on the first sampling measurement request.

[0222] The first response message includes the time offset option configured by the target device in the time offset configuration sequence.

[0223] It should be noted that the time offset configuration sequence includes multiple time offset options, and the multiple time offset options represent different time offset values. In the case where the first sampling measurement request includes the reference time and the time offset configuration sequence, the target device needs to select a time offset option that best suits the target device from the multiple time offset options in the time offset configuration sequence based on its own capability information, and report the time offset option selected by the target device to the network entity through the first response message, so that the network entity understands the time offset option configured by the target device through the received first response message.

[0224] Embodiment 5 of the present application is based on the above embodiment 3. In embodiment 5 of the present application, after S301, the target device determines the first starting time of sampling measurement, the target device executes step c, which is that the target device sends a first response message to the network entity based on the configuration message.

[0225] The first response message includes the time offset option configured by the target device in the time offset configuration sequence.

[0226] It should be noted that the time offset configuration sequence includes multiple time offset options, and the multiple time offset options represent different time offset values. In the case where the configuration message includes the reference time and the time offset configuration sequence, the target device needs to select a time offset option that best suits the target device from the multiple time offset options in the time offset configuration sequence based on its own capability information, and report the time offset option selected by the target device to the network entity through the first response message, so that the network entity understands the time offset option configured by the target device through the received first response message.

[0227] In an embodiment of the present application, when the first start time sent by the network entity to the target device is the second reference time, the target device reports the time offset option selected by the target device to the network entity through a first response message, so that the network entity understands the time offset option configured by the target device, thereby achieving closer collaboration between the network entity and the target device, improving the degree of coordination between the target device and the network entity, and ensuring the synchronization of the positioning measurement process.

[0228] In another possible embodiment, when the first starting moment is the first reference moment, the first sampling moment, the second sampling moment or the third sampling moment, after receiving the first starting moment sent by the network entity, the target device needs to reply to the network entity whether the target device has successfully configured the starting moment of the target time domain window as the first starting moment sent by the network entity.

[0229] Specifically, the target device can send a response message to the network entity, which carries an identifier of whether the target device successfully configures the first starting time sent by the network entity as the starting time of the target time domain window, so that the network entity can timely grasp the configuration status of the target device.

[0230] In this embodiment, the target device can ensure that the first starting moment configured by the target device is synchronized with the first starting moment sent by the network entity by feeding back to the network entity whether the target device has successfully configured the first starting moment sent by the network entity as the starting moment of the target time domain window, thereby improving the reliability of the sampling measurement and further improving the positioning accuracy of the positioning model.

[0231] In the above-mentioned Embodiment 1, Embodiment 3, Embodiment 4 and Embodiment 5, the first starting time is sent by the network entity to the target device according to the third starting time supported by the target device. In one implementation, before the network entity sends the first starting time to the target device, the target device needs to inform the network entity of the third starting time supported by the target device, so that the network entity can subsequently determine the first starting time according to the third starting time supported by the target device. Next, the specific process of the target device informing the network entity of the third starting time supported by the target device is described in detail.

[0232] In a possible embodiment, the method further includes step d1 and step d2. Step d1 and step d2 are described in detail below.

[0233] Fig. 9 The flowchart of the positioning measurement method corresponding to the sixth embodiment provided in the present application is as follows. Fig. 9As shown, the sixth embodiment of the present application is obtained based on the fourth embodiment. In the sixth embodiment of the present application, before the target device receives the first sampling measurement request sent by the network entity in step a of the fourth embodiment, the target device executes step d1 and step d2.

[0234] Fig.10 The following is a flow chart of the positioning measurement method corresponding to the seventh embodiment provided in the present application. Fig.10 As shown, the seventh embodiment of the present application is obtained based on the above fifth embodiment. In the seventh embodiment of the present application, before the target device receives the configuration message sent by the network entity in step b1 of the fifth embodiment, the target device executes steps d1 and d2.

[0235] Step d1: The target device receives a measurement capability request sent by a network entity.

[0236] The measurement capability request is used to request the target device to send capability information, so that the network entity can determine at least one second starting time supported by the target device.

[0237] It should be noted that the description of the capability information of the target device is detailed in S301 of the above embodiment, and will not be repeated in this embodiment.

[0238] Step d2: The target device sends a second response message to the network entity based on the measurement capability request.

[0239] The second response message includes capability information of the target device, and the first starting time is determined by the network entity based on the second response message.

[0240] It should be noted that after the network entity receives the second response message sent by the target device including the target device capability information, the network entity can obtain at least one second start time supported by the target device and determine a first start time from the at least one second start time supported by the target device.

[0241] In the embodiment of the present application, the target device receives the measurement capability request sent by the network entity, and sends the capability information of the target device to the network entity based on the measurement capability request, so that the network entity can determine the appropriate first starting time based on the capability information sent by the target device. This ensures that the network entity can select a more accurate first starting time according to the actual measurement capability of the target device, effectively improving the accuracy of the measurement result.

[0242] In the above embodiment, when the first starting time is determined by the target device based on its own capability information, the target device needs to determine the first starting time of the sampling measurement after receiving the third sampling measurement request sent by the network entity, and after determining the first starting time of the sampling measurement, send the first starting time determined by the target device to the network entity. Next, the specific process of the target device receiving the third sampling measurement request sent by the network entity and the target device sending the first starting time determined by the target device to the network entity is described in detail.

[0243] It should be noted that, in the above-mentioned embodiment S301, it has been explained that in the second embodiment of the present application, the first starting time is determined by the target device based on its own capability information.

[0244] Fig.11 The flowchart of the positioning measurement method corresponding to the second embodiment provided in the present application is as follows. Fig.11 As shown, in a possible embodiment, before S301, the target device determines the first starting time of sampling measurement, the method further includes step e1, and step e1 is described in detail below.

[0245] Step e1: The target device receives a third sampling measurement request sent by the network entity.

[0246] The third sampling measurement request includes a target identifier, and the third sampling measurement request is used to request the target device to perform the sampling measurement indicated by the target identifier.

[0247] It should be noted that the target identifier included in the third sampling measurement request is the same as the target identifier included in the first sampling measurement request shown in step a of the above embodiment, and this embodiment will not be described in detail.

[0248] In this embodiment, the type of sampling measurement is sent to the target device through the third sampling measurement request, so that the target device can determine the type of sampling measurement to be performed in S302 based on the third sampling measurement request.

[0249] After S301, the target device determines the first starting time of sampling measurement, the method further includes step e2, which is described in detail below.

[0250] Step e2: The target device sends a third response message to the network entity based on the third sampling measurement request.

[0251] The third response message includes the first starting time determined by the target device.

[0252] In step e1, after the target device receives the third sampling measurement request sent by the network entity, the target device determines the first starting time of the sampling measurement and executes step e2 to send the first starting time determined by the target device to the network entity through a third response message, so that the network entity can know the first starting time of the sampling measurement performed by the target device.

[0253] In the embodiment of the present application, after the target device receives the third sampling measurement request sent by the network entity, it first determines the type of sampling measurement that needs to be performed subsequently based on the third sampling measurement request, and then further determines the first starting time of the sampling measurement, and finally feeds back the determined first starting time to the network entity. In this way, the network entity can timely know the first starting time of the sampling measurement performed by the target device, thereby providing an accurate time reference for the subsequent measurement and positioning process; at the same time, it ensures the information synchronization between the target device and the network entity, and improves the overall performance and positioning accuracy of the positioning system.

[0254] In the above embodiment, the target device needs to perform sampling measurement based on the first starting moment to obtain the measurement result. Next, the specific process of the target device performing sampling measurement based on the first starting moment to obtain the measurement result is described in detail.

[0255] In a possible embodiment, S302, the target device performs sampling measurement based on the first starting moment, and obtaining the measurement result may be achieved through S3021 to S3023, and S3021 to S3023 are described in detail below.

[0256] S3021. The target device determines a plurality of fourth sampling moments in the target time domain window based on the first starting moment and the target sampling granularity, and the target number of sampling moments in each time domain window.

[0257] The target sampling granularity k is used to indicate the time interval between two adjacent fourth sampling moments in the plurality of fourth sampling moments.

[0258] It should be noted that the sampling granularity is used to indicate the time interval between two adjacent sampling moments in the time domain window. By adjusting the size of the sampling granularity, the density and time accuracy of the sampling moments in the time domain window can be flexibly controlled. A smaller sampling granularity means that the interval between sampling moments is smaller, and more detailed data can be collected, which is suitable for high-precision measurement; while a larger sampling granularity helps to reduce the amount of data, thereby improving data transmission and processing efficiency.

[0259] When executing the positioning measurement method of the present application, the network entity needs to send a sampling granularity configuration sequence to the target device, where the sampling granularity configuration sequence includes a plurality of different sampling granularity configuration options, and different sampling granularity configuration options correspond to different sampling granularities.

[0260] After receiving the sampling granularity configuration sequence sent by the network entity, the target device determines a target sampling granularity k in the sampling granularity configuration sequence based on the sampling granularities supported by the target device, and feeds back the target sampling granularity k to the network entity.

[0261] For example, the network entity sends a sampling granularity configuration sequence to the target device, including k 0 , k 1 , k 2 , k 3 , k 4 and k 5 Six sampling granularity configuration options. The sampling granularity supported by the target device is sampling granularity configuration option k. 1 The corresponding sampling granularity, therefore, the target device configures the sampling granularity option k 1 The corresponding sampling granularity is determined as the target sampling granularity k, and the target sampling granularity k is fed back to the network entity.

[0262] It should be noted that the target number N of sampling moments in each time domain window t It is also sent by the network entity to the target device. The number of targets N at the sampling time in each time domain window t It can be set by the positioning model manager, and this embodiment does not make any specific limitation to this.

[0263] For example, the target number of sampling moments in each time domain window is 1000.

[0264] In this embodiment, first, the target device uses the first starting time as the starting time of the target time domain window; secondly, the target device determines the time interval between two adjacent sampling times in the target time domain window based on the target sampling granularity k; finally, within the target time domain window, starting from the first starting time, the target device determines N according to the time interval corresponding to the target sampling granularity k. t The fourth sampling moment.

[0265] For example, assuming that the first starting moment is T, the time interval corresponding to the target sampling granularity k is 10ms, and the target number of sampling moments is 1000, then the target device will generate a fourth sampling moment every 10ms after moment T until the number of fourth sampling moments in the target time domain window reaches 1000.

[0266] In this application, the sampling granularity configuration sequence and the target number N of sampling moments in each time domain window t , can be sent by the network entity to the target device through the first sampling measurement request, the configuration message or the third sampling measurement request.

[0267] S3022. The target device performs sampling measurement based on the multiple fourth sampling moments to obtain measurement information corresponding to the multiple fourth sampling moments.

[0268] The measurement information includes power information, or the measurement information includes power information and phase information. It should be noted that, when the sampling measurement performed by the target device does not include CIR measurement, the measurement information includes power information.

[0269] For example, in the case where the sampling measurement performed by the target device is DP measurement, the measurement information includes power information.

[0270] In the case where the sampled measurement performed by the target device includes CIR measurement, the measurement information includes power information and phase information.

[0271] For example, in a case where the sampled measurement performed by the target device is CIR measurement and DP measurement, the measurement information includes power information and phase information.

[0272] It should be noted that, when the sampling measurement performed by the target device is DP measurement, the power information included in the measurement information only shows the relative delay information of each path.

[0273] In this embodiment, the target device performs sampling measurement based on multiple fourth sampling moments, and the method for obtaining power information and phase information corresponding to each fourth sampling moment is an existing method, which is not described in detail in this embodiment.

[0274] S3023. The target device determines a target sampling moment among multiple fourth sampling moments according to a preset rule, and obtains measurement information corresponding to the target sampling moment.

[0275] Among them, the preset rules can be set by the positioning model management personnel according to needs, and this embodiment does not make specific limitations on this.

[0276] It should be noted that the preset rule can be sent to the target device by the network entity through the first sampling measurement request, the configuration message or the third sampling measurement request.

[0277] For example, the preset rule may be that the target sampling moment is the first N fourth sampling moments in the amplitude sequence.

[0278] Specifically, based on the power information at each fourth sampling moment, the amplitude corresponding to each fourth sampling moment can be obtained, and the amplitudes corresponding to multiple fourth sampling moments are arranged in order from large to small to obtain an amplitude sequence. Wherein, N≤M, M and N are both positive integers, M represents the number of fourth sampling moments in the target time domain window, and N represents the number of target sampling moments in the target time domain window.

[0279] In this embodiment, the fourth sampling moment with a larger amplitude is preferentially selected as the target sampling moment through a preset rule, and the measurement result is obtained based on the power information and phase information corresponding to the target sampling moment. This step enables the target device to filter out the most critical sampling data from a large amount of sampling data, avoid interference from invalid data, effectively improve the accuracy of the measurement result, and thus improve the positioning accuracy of the positioning model for the terminal device.

[0280] In an embodiment of the present application, based on the first starting moment, the target sampling granularity, and the target data at the sampling moment in the time domain window, the density and accuracy of the fourth sampling moment in the target time domain window can be flexibly adjusted, thereby balancing the data quality and transmission efficiency during the sampling measurement process; at the same time, by processing the power information of multiple fourth sampling moments, the most representative fourth sampling moment is screened out as the target sampling moment, and the measurement result is obtained based on the measurement information of the target sampling moment, thereby effectively improving the accuracy of the measurement result, thereby improving the positioning accuracy of the positioning model for the terminal device.

[0281] Fig.12 This is a schematic diagram of the structure of a positioning measurement device provided in an embodiment of the present application. Fig.12 As shown, the positioning measurement device 1200 provided in this embodiment can exist independently and be used to implement the operations corresponding to the target device in the above method embodiment.

[0282] The positioning measurement device 1200 may include: a transceiver module 1201 and a processing module 1202. The processing module 1202 is used for data processing, and the transceiver module 1201 may implement corresponding communication functions. The transceiver module 1201 may also be called a communication interface or a communication unit.

[0283] Optionally, the positioning measurement device 1200 may further include a storage unit, which may be used to store instructions and / or data, and the processing module 1202 may read the instructions and / or data in the storage unit so that the positioning measurement device 1200 implements the steps implemented by the target device in the aforementioned method embodiment.

[0284] The transceiver module 1201 is used to execute the reception-related operations of the target device in the above method embodiment, and the processing module 1202 is used to execute the processing-related operations of the target device in the above method embodiment.

[0285] Optionally, the transceiver module 1201 may include a sending module and a receiving module. The sending module is used to perform the sending operation in the above method embodiment. The receiving module is used to perform the receiving operation in the above method embodiment.

[0286] It should be noted that the positioning measurement device 1200 may include a sending module but not a receiving module. Alternatively, the positioning measurement device 1200 may include a receiving module but not a sending module. Specifically, it depends on whether the above solution executed by the positioning measurement device 1200 includes a sending action and a receiving action.

[0287] As an example, the positioning measurement device 1200 is used to perform the above Figure 3 Actions performed by the target device in the illustrated embodiment.

[0288] The positioning measurement device 1200 may include: a transceiver module 1201 and a processing module 1202 .

[0289] The processing module 1202 is used to determine the first starting time of the sampling measurement; the first starting time is received by the transceiver module 1201 and sent by the network entity to the target device, or the first starting time is determined by the target device based on its own capability information; the capability information is used to indicate the second starting time supported by the target device; the first starting time is one item in the starting time set; the second starting time is at least one item in the starting time set; the starting time set includes multiple third starting times, and the third starting time is related to the reference time or the first path; wherein the target device is a base station or a user equipment UE.

[0290] The processing module 1202 is also used to perform sampling measurement based on the first starting moment to obtain a measurement result; the measurement result includes the power information corresponding to the target sampling moment in the target time domain window, or the measurement result includes the power information and phase information corresponding to the target sampling moment in the target time domain window; the starting moment of the target time domain window is the first starting moment; the measurement result is used for the life cycle management of the positioning model; wherein the positioning model is an artificial intelligence AI model or a machine learning ML model.

[0291] It should be understood that the execution of the above-mentioned corresponding processes by each module has been described in detail in the above-mentioned method embodiment, and for the sake of brevity, it will not be repeated here.

[0292] The processing module 1202 in the above embodiment can be implemented by at least one processor or processor-related circuit. The transceiver module 1201 can be implemented by a transceiver or a transceiver-related circuit. The transceiver module 1201 can also be called a communication unit or a communication interface. The storage unit can be implemented by at least one memory.

[0293] Fig.13 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. Fig.13 As shown, the electronic device 1300 provided in this embodiment includes: a memory 1301 and a processor 1302 .

[0294] The memory 1301 may be an independent physical unit, and may be connected to the processor 1302 via a bus 1303. The memory 1301 and the processor 1302 may also be integrated together and implemented by hardware. The memory 1301 is used to store program instructions, and the processor 1302 calls the program instructions to execute the operations performed by the target device in any of the above method embodiments.

[0295] Optionally, when part or all of the methods of the above embodiments are implemented by software, the electronic device 1300 may also include only a processor 1302. The memory 1301 for storing programs is located outside the electronic device 1300, and the processor 1302 is connected to the memory through circuits / wires for reading and executing the programs stored in the memory. The processor 1302 may be a central processing unit (CPU), a network processor (NP) or a combination of a CPU and a NP. The processor 1302 may further include a hardware chip. The hardware chip may be an application-specific integrated circuit (ASIC), a programmable logic device (PLD) or a combination thereof. The PLD may be a complex programmable logic device (CPLD), a field-programmable gate array (FPGA), a generic array logic (GAL) or any combination thereof.

[0296] The memory 1301 may include a volatile memory, such as a random-access memory (RAM); the memory may also include a non-volatile memory, such as a flash memory, a hard disk drive (HDD) or a solid-state drive (SSD); the memory may also include a combination of the above types of memory.

[0297] Exemplarily, the present application provides a chip, including: an interface circuit and a logic circuit, the interface circuit is used to receive signals from other chips outside the chip and transmit them to the logic circuit, or send signals from the logic circuit to other chips outside the chip, and the logic circuit is used to execute the operations performed by the target device in the above method embodiment.

[0298] Illustratively, the present application provides a computer-readable storage medium on which computer program instructions are stored. The computer program instructions are executed by a processor of an electronic device so that the electronic device performs the operations performed by the target device in the above method embodiment.

[0299] Exemplarily, the present application provides a computer program product. When the computer program product is executed on an electronic device, the electronic device executes the operations executed by the target device in the above method embodiments.

[0300] The above is only a specific implementation of the present application, so that those skilled in the art can understand or implement the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to these embodiments herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A positioning measurement method, characterized in that: The method comprises: The target device determines a first starting time of sampling measurement; the first starting time is sent by a network entity to the target device, or the first starting time is determined by the target device based on its own capability information; the capability information is used to indicate a second starting time supported by the target device; the first starting time is one item in a starting time set; the second starting time is at least one item in the starting time set; the starting time set includes multiple third starting times, and the third starting time is related to a reference time or a first path; wherein the target device is a base station or a user equipment UE; The target device performs sampling measurement based on the first starting time to obtain a measurement result; the measurement result includes power information corresponding to the target sampling time in the target time domain window, or the measurement result includes the power information and phase information corresponding to the target sampling time in the target time domain window; the starting time of the target time domain window is the first starting time; the measurement result is used for the life cycle management of the positioning model; wherein the positioning model is an artificial intelligence AI model or a machine learning ML model.

2. The method according to claim 1, characterized in that: Each of the third starting moments is one of the first reference moment, the second reference moment, the first sampling moment, the second sampling moment, and the third sampling moment; The first reference time is the sum of the reference time and a fixed time offset value; The second reference time is the sum of the reference time and a configurable time offset value, and the configurable time offset value is a time offset value corresponding to any time offset option in a time offset configuration sequence; wherein the time offset configuration sequence includes multiple time offset options, and the multiple time offset options respectively correspond to different time offset values; The first sampling time is the sampling time corresponding to the first path; The second sampling time is a fourth sampling time having the smallest difference with the first sampling time; wherein the fourth sampling time is a sampling time preset in the target time domain window; The third sampling time is a fourth sampling time that is before the first sampling time and has the smallest difference with the first sampling time.

3. The method according to claim 2, characterized in that In the case where the first starting time is when the network entity sends the target device, before the target device determines the first starting time of the sampling measurement, the method further includes: The target device receives a first sampling measurement request sent by a network entity, wherein the first sampling measurement request includes the first starting time and a target identifier; the first sampling measurement request is used to request the target device to use the first starting time as the starting time of the target time domain window, and to perform the sampling measurement indicated by the target identifier; wherein the sampling measurement indicated by the target identifier includes at least one of a channel impulse response CIR measurement, a power delay spectrum PDP measurement, and a delay spectrum DP measurement.

4. The method according to claim 2, characterized in that: In the case where the first starting time is when the network entity sends the target device, before the target device determines the first starting time of the sampling measurement, the method further includes: The target device receives a configuration message sent by a network entity, where the configuration message includes the first starting time; the configuration message is used to instruct the target device to configure the first starting time as the starting time of the target time domain window; The target device receives a second sampling measurement request sent by a network entity, where the second sampling measurement request includes a target identifier; wherein the second sampling measurement request is used to request the target device to perform sampling measurement indicated by the target identifier.

5. The method according to claim 3 or 4, characterized in that: In a case where the first starting time is the second reference time, the first sampling measurement request or the configuration message includes the reference time and the time offset configuration sequence; After the target device determines a first starting time of sampling measurement, the method further includes: The target device sends a first response message to the network entity based on the first sampling measurement request or the configuration message, where the first response message includes the time offset option configured by the target device in the time offset configuration sequence.

6. The method according to claim 3 or 4, characterized in that: The method further comprises: The target device receives a measurement capability request sent by a network entity, where the measurement capability request is used to request the target device to send the capability information; The target device sends a second response message to the network entity based on the measurement capability request, where the second response message includes the capability information; wherein the first start time is determined by the network entity based on the second response message.

7. The method according to claim 1, characterized in that In the case where the first starting time is determined by the target device based on its own capability information, before the target device determines the first starting time of the sampling measurement, the method further includes: The target device receives a third sampling measurement request sent by a network entity, where the third sampling measurement request includes a target identifier; the third sampling measurement request is used to request the target device to perform sampling measurement indicated by the target identifier; After the target device determines the first starting time based on its own capability information, the method further includes: The target device sends a third response message to the network entity based on the third sampling measurement request, where the third response message includes the first starting time determined by the target device.

8. The method according to claim 1, characterized in that: The target device performs sampling measurement based on the first starting time to obtain a measurement result, including: The target device determines a plurality of fourth sampling moments in the target time domain window based on the first starting moment and the target sampling granularity, and the target number of sampling moments in each time domain window; wherein the target sampling granularity is used to indicate the time interval between two adjacent fourth sampling moments in the plurality of fourth sampling moments; The target device performs sampling measurement based on the multiple fourth sampling moments to obtain measurement information corresponding to the multiple fourth sampling moments respectively; wherein the measurement information includes power information, or the measurement information includes the power information and phase information; The target device determines a target sampling moment among the plurality of fourth sampling moments according to a preset rule, and obtains measurement information corresponding to the target sampling moment.

9. An electronic device, characterized in that: include: memory and at least one processor; The memory stores computer-executable instructions; The at least one processor executes the computer-executable instructions stored in the memory, so that the at least one processor performs the method according to any one of claims 1 to 8.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are executed, the method according to any one of claims 1 to 8 is implemented.

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