Method, communication device and system for information transmission

Abstract

This application provides a method, communication device, and system for information transmission, relating to the field of sensing technology. In this method, the device can classify data based on the scattering characteristic information obtained by sensing a target at a corresponding measurement angle. For example, it can distinguish between data that satisfy a coherent relationship and data that satisfy an incoherent relationship from at least two sets of data obtained by sensing a target. Furthermore, it performs coherent processing on the data that satisfies the coherent relationship and incoherent processing on the data that satisfies the incoherent relationship. Thus, this application can support appropriate processing of data acquired in large-aperture observation scenarios.

Description

Information transmission method, communication device and system Technical Field

[0001] The present application relates to the field of perception technology, and more specifically, to an information transmission method, communication device, and system. Background Art

[0002] In recent years, with the continuous development of communication and wireless sensing technologies, the integration of communication and wireless sensing technologies has become a hot research topic. In an integrated synaesthesia system, devices in the communication system, such as network devices and terminal devices, will not only support communication functions but also possess wireless sensing capabilities.

[0003] In a synaesthesia integrated system, there are two observation scenarios: small-aperture and large-aperture. For small-aperture observations, data acquired from the target can be coherently processed based on the assumption that the target is approximately an isotropic scatterer. However, for large-aperture observations, this assumption no longer holds. Therefore, how to process data acquired from the target in large-aperture observations is a pressing technical challenge.

[0004] Summary of the Invention

[0005] The present application provides an information transmission method, a communication device, and a system that can support appropriate processing of data acquired in large-aperture observation scenarios.

[0006] In a first aspect, a method for information transmission is provided, comprising: acquiring at least two data, each of the at least two data including scattering characteristic information obtained by sensing a target at a corresponding measurement angle; and sending indication information, the indication information indicating at least one of data satisfying a coherent relationship and data satisfying an incoherent relationship in the at least two data, the indication information being determined based on the scattering characteristic information included in each data.

[0007] The execution entity of the solution described in the first aspect can be a first device, a module of the first device (such as a chip system, etc.), or a logical node, logic module, or software that can implement all or part of the functions of the first device, without limitation. For ease of description, the following description uses the first device as an example. The first device can be a network device or a terminal device, without limitation.

[0008] It should be noted that the apparatus described in the embodiments of the present application can be a communication device, or a device, or a component or chip system in a device, etc., without limitation. For example, the first apparatus described can be a first device, or a first component, or a first chip system, etc.

[0009] The first device may classify the data based on the scattering characteristic information included in the data. For example, the first device may classify the at least two data items into at least two categories based on the scattering characteristic information included in each of the at least two data items, such as data satisfying a coherent relationship and data satisfying an incoherent relationship. The first device may indicate to the second device the types or relationships between different data items in the at least two data items. Furthermore, the second device may perform corresponding data processing on the different types of data, such as performing coherent processing on data satisfying a coherent relationship and performing incoherent processing on data satisfying an incoherent relationship.

[0010] Compared with the existing scheme of processing at least two data using the same data processing method (such as coherent processing or incoherent processing), the above scheme can simultaneously bring resolution gain (coherent processing of data that satisfy the coherent relationship) and accuracy gain (incoherent processing of data that satisfy the incoherent relationship).

[0011] In summary, through the above technical solutions, the present application can support appropriate processing of data acquired in large-aperture observation scenes. For example, coherent processing of data that satisfies a coherent relationship can bring resolution gain, and incoherent processing of data that satisfies an incoherent relationship can bring precision gain. In this way, both resolution gain and precision gain can be achieved simultaneously.

[0012] In other words, the first device can classify the data according to the scattering characteristic information obtained by sensing the target at the corresponding measurement angle included in the data. For example, the first device distinguishes the data that satisfies the coherent relationship and the data that satisfies the incoherent relationship among the at least two data obtained by sensing the target, and the second device performs coherent processing on the data that satisfies the coherent relationship and performs incoherent processing on the data that satisfies the incoherent relationship. In this way, it can support appropriate processing of the data obtained in the large aperture observation scene.

[0013] It should be noted that the accuracy mentioned above can be understood as the degree of difference between the measurement result and the true value, usually expressed as error. The resolution mentioned above can be understood as the minimum value that can be effectively distinguished.

[0014] In a second aspect, a method for information transmission is provided, comprising: receiving indication information, the indication information indicating at least one item among at least two data, data satisfying a coherent relationship and data satisfying an incoherent relationship, each of the at least two data including scattering characteristic information obtained by sensing a target at a corresponding measurement angle, and the indication information being determined based on the scattering characteristic information included in each data; and processing the at least two data based on the indication information.

[0015] The execution entity of the solution described in the second aspect can be the first device, or a module of the second device (such as a chip system, etc.), or a logical node, logic module, or software that can realize all or part of the functions of the second device, without limitation. For ease of description, the following description uses the second device as an example. Among them, the second device can be a network device or a terminal device, without limitation.

[0016] In the above scheme, the first device indicates to the second device the type or relationship between different data in the at least two data, and the second device can perform corresponding data processing on different types of data, such as, the second device performs coherent processing on data that satisfies a coherent relationship, and the second device performs incoherent processing on data that satisfies an incoherent relationship.

[0017] Compared with the existing scheme of processing at least two data using the same data processing method (such as coherent processing or incoherent processing), the above scheme can simultaneously bring resolution gain (coherent processing of data that satisfy the coherent relationship) and accuracy gain (incoherent processing of data that satisfy the incoherent relationship).

[0018] In summary, through the above technical solutions, the present application can support appropriate processing of data acquired in large-aperture observation scenes. For example, coherent processing of data that satisfies a coherent relationship can bring precision gain, and incoherent processing of data that satisfies an incoherent relationship can bring resolution gain. In this way, both resolution gain and precision gain can be achieved at the same time.

[0019] In combination with the second aspect, in a possible implementation manner, the method further includes: sending at least one data, where the at least one data belongs to the at least two data.

[0020] In this way, the second device can send the acquired data to the first device.

[0021] In any one of the solutions of the first aspect and the second aspect, the indication information includes at least one angle range, the at least one angle range includes a first angle range, and the data corresponding to the measurement angles belonging to the first angle range satisfy a coherence relationship.

[0022] Specifically, there is an association between the angle and the data within each angle range, and different angle ranges can be used to indicate at least one of the at least two data that satisfy the coherent relationship and the data that satisfy the incoherent relationship, which can reduce the signaling indication overhead.

[0023] In addition, the second device may perform coherent processing (such as coherent accumulation, etc.) on the data corresponding to the angles within the first angle range, so as to achieve resolution gain.

[0024] In the solution of any one of the first aspect and the second aspect, the at least one angle range also includes a second angle range, and the data corresponding to the measurement angles belonging to the second angle range satisfy an incoherent relationship.

[0025] In this way, the second device can no longer perform coherent processing on the data corresponding to the angles within the second angle range to avoid interference with the remaining data, but instead perform incoherent processing (such as incoherent accumulation, etc.) to improve the signal-to-noise ratio, thereby achieving accuracy gain.

[0026] In any one of the solutions of the first aspect and the second aspect, the data corresponding to the first angle range and the data corresponding to the second angle range satisfy an incoherent relationship.

[0027] In this way, the data corresponding to the angles within the first angle range are no longer coherently processed with the data corresponding to the angles within the second angle range to avoid interference of the data corresponding to the angles within the second angle range with the data corresponding to the angles within the first angle range.

[0028] In any one of the solutions of the first aspect and the second aspect, the scattering characteristic information includes at least one of the following: radar scattering cross section, scattering phase, and scattering intensity.

[0029] In this way, the at least two data may be classified by one or more of the above-mentioned items, thereby determining at least one of the data satisfying a coherent relationship and the data satisfying an incoherent relationship in the at least two data.

[0030] In any one of the schemes of the first aspect and the second aspect, part or all of the at least two data are source data obtained by perceiving the target at the corresponding measurement angle; or, part or all of the at least two data are data obtained by processing the source data obtained by perceiving the target at the corresponding measurement angle.

[0031] In this way, by processing two or more source data or data obtained after source data processing (including scattering characteristic information of the target), the scattering characteristic information of the target can be obtained, thereby realizing angle division, and then coherent processing and incoherent processing of the above at least two data are respectively realized, so that resolution gain and accuracy gain can be achieved simultaneously.

[0032] In the solution of any one of the first and second aspects, the at least one angular range is associated with the target.

[0033] The aforementioned “angle range and target association” may be: the angle range and the perceived target association.

[0034] By associating the angle range and the target, the first device can determine at least one of the data that satisfies a coherent relationship and the data that satisfies an incoherent relationship among the at least two data corresponding to the target. The second device can also appropriately process the at least two data corresponding to the target, so as to better complete the perception task of the target, and avoid mismatches between at least one angle range and the target, thereby avoiding a decline in perception quality.

[0035] In the solution of any one of the first aspect and the second aspect, the indication information further includes identification information of the target.

[0036] In this way, the second device can properly process at least two data corresponding to the target, thereby better completing the perception task of the target.

[0037] In the scheme described in any one of the first and second aspects, the indication information is determined based on the scattering characteristic information included in each data, including: the indication information is determined based on the derivative of the radar scattering cross section included in each data with respect to the measurement angle; or, the indication information is determined based on the statistical characteristics of the radar scattering cross section included in each data with respect to the measurement angle; or, the indication information is determined based on the derivative of the scattering phase included in each data with respect to the measurement angle; or, the indication information is determined based on the statistical characteristics of the scattering phase included in each data with respect to the measurement angle; or, the indication information is determined based on the derivative of the scattering intensity included in each data with respect to the measurement angle; or, the indication information is determined based on the statistical characteristics of the scattering intensity included in each data with respect to the measurement angle.

[0038] In this way, the first device can indicate at least one of the data satisfying the coherent relationship and the data satisfying the incoherent relationship among the at least two data.

[0039] In a third aspect, a communication device is provided, comprising: an interface unit for acquiring at least two data, each of the at least two data including scattering characteristic information obtained by sensing a target at a corresponding measurement angle; the interface unit is also used to send indication information, the indication information indicating at least one of the data satisfying a coherent relationship and the data satisfying an incoherent relationship in the at least two data, the indication information being determined based on the scattering characteristic information included in each data.

[0040] In a fourth aspect, a communication device is provided, comprising: an interface unit for receiving indication information, wherein the indication information indicates at least one item of data satisfying a coherent relationship and data satisfying an incoherent relationship among at least two data, each of the at least two data including scattering characteristic information obtained by sensing a target at a corresponding measurement angle, and the indication information is determined based on the scattering characteristic information included in each data; and a processing unit for processing the at least two data based on the indication information.

[0041] In combination with the fourth aspect, in a possible implementation manner, the interface unit is further used to send at least one data, and the at least one data belongs to the at least two data.

[0042] In the solution described in any one of the third aspect and the fourth aspect, the indication information includes at least one angle range, the at least one angle range includes a first angle range, and the data corresponding to the measurement angles belonging to the first angle range satisfy a coherent relationship.

[0043] In the solution described in any one of the third aspect and the fourth aspect, the at least one angle range also includes a second angle range, and the data corresponding to the measurement angles belonging to the second angle range satisfy an incoherent relationship.

[0044] In the solution described in any one of the third aspect and the fourth aspect, the data corresponding to the first angle range and the data corresponding to the second angle range satisfy an incoherent relationship.

[0045] In the solution of any one of the third aspect and the fourth aspect, the scattering characteristic information includes at least one of the following: radar scattering cross section, scattering phase, and scattering intensity.

[0046] In the scheme described in any one of the third aspect and the fourth aspect, part or all of the at least two data are source data obtained by sensing the target at the corresponding measurement angle; or, part or all of the at least two data are data obtained by processing the source data obtained by sensing the target at the corresponding measurement angle.

[0047] In the solution of any one of the third and fourth aspects, the at least one angular range is associated with the target.

[0048] In the solution of any one of the third aspect and the fourth aspect, the indication information also includes identification information of the target.

[0049] In the scheme described in any one of the third aspect and the fourth aspect, the indication information is determined based on the scattering characteristic information included in each data, including: the indication information is determined based on the derivative of the radar scattering cross section included in each data with respect to the measurement angle; or, the indication information is determined based on the statistical characteristics of the radar scattering cross section included in each data with respect to the measurement angle; or, the indication information is determined based on the derivative of the scattering phase included in each data with respect to the measurement angle; or, the indication information is determined based on the statistical characteristics of the scattering phase included in each data with respect to the measurement angle; or, the indication information is determined based on the derivative of the scattering intensity included in each data with respect to the measurement angle; or, the indication information is determined based on the statistical characteristics of the scattering intensity included in each data with respect to the measurement angle.

[0050] In a fifth aspect, an embodiment of the present application provides a communication device, comprising a module for executing the method in all possible ways in the first aspect or the second aspect.

[0051] In a sixth aspect, an embodiment of the present application provides a communication device, comprising an interface circuit and a processor, and the communication device is used to execute any possible method in the first aspect or the third aspect.

[0052] The interface circuit mentioned above may also be a communication interface, and the processor mentioned above may also be a logic circuit or a processing circuit.

[0053] In a seventh aspect, an embodiment of the present application provides a computer-readable medium that stores a program code for execution by a terminal device, wherein the program code includes instructions for executing any possible method in the first aspect or the second aspect.

[0054] In an eighth aspect, an embodiment of the present application provides a computer program product storing computer-readable instructions, which, when the computer-readable instructions are executed on a computer, enables the computer to execute any possible method of the first aspect or the second aspect.

[0055] In a ninth aspect, an embodiment of the present application provides a communication system, which includes a device having the function of implementing any possible method of the above-mentioned first to second aspects.

[0056] In a tenth aspect, an embodiment of the present application provides a processor for coupling with a memory, for executing any possible method of the above-mentioned first aspect or second aspect.

[0057] In an eleventh aspect, a communication device is provided, comprising: a processor for executing computer instructions stored in a memory, so that the communication device executes the method described in any possible manner in the first aspect or the second aspect above.

[0058] In one possible implementation, the above-mentioned communication device further includes a memory.

[0059] In one possible implementation, the communication device further includes a communication interface, which is coupled to the processor, and the communication interface is used to input and / or output information.

[0060] In the twelfth aspect, a chip is provided, which is connected to a memory and is used to read and execute a software program stored in the memory to execute the method described in any possible manner in the first or second aspect above. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] FIG1 is a schematic diagram of a communication system applicable to an embodiment of the present application.

[0062] Figure 2 is a schematic diagram of small aperture observation.

[0063] Figure 3 is a schematic diagram of large-aperture observation.

[0064] FIG4 is a schematic diagram of the interactive flow of the information transmission method according to an embodiment of the present application.

[0065] FIG5 is a schematic diagram of a perception scenario according to an embodiment of the present application.

[0066] FIG6 is a schematic diagram of another perception scenario according to an embodiment of the present application.

[0067] FIG7 is a schematic diagram of a simulation scenario according to an embodiment of the present application.

[0068] FIG8 is a schematic diagram of a simulation result of an embodiment of the present application.

[0069] FIG9 is a schematic diagram of a communication device according to an embodiment of the present application.

[0070] FIG10 is a schematic diagram of another communication device according to an embodiment of the present application. DETAILED DESCRIPTION

[0071] In order to facilitate understanding of the embodiments of the present application, the following points are first explained.

[0072] 1. Unless otherwise specified, “at least two” means two or more.

[0073] 2. Unless otherwise specified or there is no logical conflict, the terms and / or descriptions between different embodiments of this application are consistent and can be referenced by each other. The technical features in different embodiments can be combined to form new embodiments based on their internal logical relationships.

[0074] 3. The various numerical numbers involved in this application are only used for the convenience of description and are not used to limit the scope of protection of this application. The size of the serial numbers involved in this application does not mean the order of execution. The order of execution of each process should be determined by its function and internal logic. For example, the terms "first", "second", "third", "fourth" and other various terminology labels (if any) in the specification and claims and drawings of this application are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. Among them, the data used in this way can be interchangeable where appropriate, so that the embodiments described here can be implemented in an order other than what is illustrated or described here.

[0075] At the same time, any embodiment or design described in this application as "exemplary" or "for example" should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present the relevant concepts in a concrete manner to facilitate understanding.

[0076] 4. The terms "comprise" and "have" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or apparatus that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such process, method, product or apparatus.

[0077] 5. In this application, "used to indicate" can be understood as "enabling," and "enabling" can include direct enabling and indirect enabling. When describing that certain information is used to enable A, it can include that the information directly enables A or indirectly enables A, and does not necessarily mean that the information contains A.

[0078] The information enabled by the information is called information to be enabled. In the specific implementation process, there are many ways to enable the enabled information, such as but not limited to, directly enabling the information to be enabled, such as the information to be enabled itself or the index of the information to be enabled. The information to be enabled can also be indirectly enabled by enabling other information, wherein there is an association between the other information and the information to be enabled. It is also possible to enable only a part of the information to be enabled, while the other parts of the information to be enabled are known or agreed in advance. For example, it is also possible to enable specific information with the help of the arrangement order of each piece of information agreed in advance (such as specified in the protocol), thereby reducing the enabling overhead to a certain extent. At the same time, it is also possible to identify the common parts of each piece of information and enable them uniformly to reduce the enabling overhead caused by enabling the same information separately.

[0079] 6. "Storage" or "saving" as used in this application may refer to storage in one or more memories. The one or more memories may be provided separately or integrated into an encoder or decoder, a processor, or a communication device. The one or more memories may also be partially provided separately and partially integrated into a decoder, processor, or communication device. The type of memory may be any form of storage medium and is not limited thereto.

[0080] VII. The “protocol” referred to in this application may refer to a standard protocol in the field of communications, such as the fifth generation (5G) th generation, 5G) network protocol, new radio (NR) protocol, 5.5G network protocol, sixth generation (6 th generation, 6G) network protocols and related protocols used in future communication systems, which are not limited in this application.

[0081] 8. The dotted arrows or boxes in the schematic diagrams in the accompanying drawings of this application specification represent optional steps or optional modules.

[0082] 9. Unless otherwise specified, “ / ” indicates that the objects associated with each other are in an “or” relationship. For example, A / B can mean A or B. “And / or” in this application is only a description of the association relationship between the associated objects, indicating that there can be three relationships. For example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. A and B can be singular or plural.

[0083] First, a communication system to which the embodiments of the present application are applicable is described.

[0084] The technical solutions provided in this application can be applied to various communication systems, such as 5G or NR systems, future communication systems, such as 6G mobile communication systems. The technical solutions provided in this application can also be applied to device-to-device (D2D) communication, vehicle-to-everything (V2X) communication, machine-to-machine (M2M) communication, machine type communication (MTC), and Internet of Things (IoT) communication systems or other communication systems. This application is not limited to this.

[0085] The following uses FIG1 as an example to provide an exemplary description of a communication system applicable to an embodiment of the present application.

[0086] Figure 1 is a schematic diagram of a communication system applicable to embodiments of the present application. As shown in Figure 1 (a), the communication system includes passive targets (such as cars, buildings, etc.) and sensing nodes, which can be network devices, terminal devices, etc. As shown in Figure 1 (b), the communication system includes active targets and sensing nodes, both of which can be network devices, terminal devices, etc.

[0087] It should be understood that FIG1(a) only schematically illustrates one sensing node and a passive target. FIG1(a) may also include more sensing nodes and passive targets, and furthermore, FIG1(a) may also include one or more active targets. Similarly, FIG1(b) only schematically illustrates one sensing node and an active target. FIG1(b) may also include more sensing nodes and active targets, and furthermore, FIG1(b) may also include one or more passive targets.

[0088] The active target mentioned above refers to a target node that has a communication link with the sensing node, and the passive target mentioned above refers to a target node that has no communication link with the sensing node.

[0089] In the embodiment of the present application, the network device can be any device with wireless transceiver function. The device includes but is not limited to: an evolved Node B (eNB), a radio network controller (RNC), a Node B (NB), a base station controller (BSC), a base transceiver station (BTS), a home base station (e.g., a home evolved NodeB, or a home Node B, HNB), a baseband unit (BBU), an access point (AP) in a wireless fidelity (WiFi) system, a wireless relay node, a wireless backhaul node, a transmission point (TP) or a transmission and reception point (TRP), etc. It can also be a gNB in ​​a 5G, such as NR, system, or a TRP or TP, one or a group of (including multiple antenna panels) antenna panels of a base station in a 5G system, or it can also be a network node constituting a gNB or a transmission point, such as a BBU or a distributed unit (DU), etc., or a base station in a next-generation communication 6G system, etc.

[0090] In some deployments, the gNB may include a centralized unit (CU) and a DU. The gNB may also include an active antenna unit (AAU). The CU implements some gNB functions, while the DU implements some gNB functions. For example, the CU is responsible for processing non-real-time protocols and services, and implementing the functions of the radio resource control (RRC) and packet data convergence protocol (PDCP) layers. The DU is responsible for processing physical layer protocols and real-time services, and implementing the functions of the radio link control (RLC), medium access control (MAC), and physical (PHY) layers. The AAU implements some physical layer processing functions, RF processing, and active antenna-related functions. Because RRC layer information ultimately becomes PHY layer information, or is converted from PHY layer information, in this architecture, higher-layer signaling, such as RRC layer signaling, can also be considered to be sent by the DU, or by both the DU and the AAU.

[0091] It is understood that the network device may include one or more of a CU node, a DU node, and an AAU node. In addition, the CU may be classified as a network device in an access network (RAN) or a network device in a core network (CN), which is not limited in this application.

[0092] The network device in the embodiment of the present application may also be an open radio access network (O-RAN) device (open RAN, or ORAN), that is, the network device includes multiple RAN nodes, and the multiple RAN nodes collaborate to assist the terminal device in achieving wireless access, and different RAN nodes respectively implement part of the functions of the network device. As an example, the RAN node may be a CU, DU, CU-CP, CU-UP, RU, etc. Among them, the CU and DU may be set separately, or may also be included in the same network element, such as a BBU. The RU may be included in a radio frequency device or a radio frequency unit, such as a remote radio unit (RRU), an AAU, or a remote radio head (RRH). For example, in some deployments, the network device may include a CU and a DU. In different systems, CU (or CU-CP and CU-UP), DU, or RU may also have different names, but those skilled in the art can understand their meanings. For example, in the ORAN system, CU may also be referred to as O-CU (Open CU), DU may also be referred to as O-DU (Open DU), CU-CP may also be referred to as O-CU-CP (Open CU-CP), CU-UP may also be referred to as O-CU-UP (Open CU-UP), and RU may also be referred to as O-RU (Open RU). For convenience of description, this application uses CU, CU-CP, CU-UP, DU and / or RU as examples for description. Any unit in the CU (or CU-CP, CU-UP), DU and / or RU in this application can be implemented by a software module, a hardware module, or a combination of a software module and a hardware module.

[0093] In an embodiment of the present application, the terminal device may also be referred to as user equipment (UE), access terminal, user unit, user station, mobile station, mobile station, remote station, remote terminal, mobile device, user terminal, terminal, wireless communication device, user agent or user device.

[0094] The terminal device may be a device that provides voice / data connectivity to users, such as a handheld device or vehicle-mounted device with wireless connection function. At present, some examples of terminals may include: mobile phones, tablet computers, computers with wireless transceiver functions (such as laptops, PDAs, etc.), mobile internet devices (MIDs), virtual reality (VR) devices, augmented reality (AR) devices, wireless terminals in industrial control, wireless terminals in self-driving, wireless terminals in remote medical, wireless terminals in smart grids, wireless terminals in transportation safety, wireless terminals in smart cities, wireless terminals in smart homes, cellular phones, cordless phones, session initiation protocol (SIP) phones, wireless local loop (WLL) stations, personal digital assistants (PDAs), handheld devices with wireless communication functions, computing devices or other processing devices connected to wireless modems, vehicle-mounted devices, wearable devices, terminal devices in 5G networks or future evolved public land mobile communication networks (PLMNs). terminal equipment in network, PLMN, etc.

[0095] Wearable devices, also known as wearable smart devices, are a general term for wearable devices that use wearable technology to intelligently design and develop wearable devices for daily wear, such as glasses, gloves, watches, clothing, and shoes. Wearable devices are portable devices that are worn directly on the body or integrated into the user's clothing or accessories. Wearable devices are not just hardware devices, but also achieve powerful functions through software support, data interaction, and cloud interaction. In a broad sense, wearable smart devices include those that are fully functional, large in size, and can achieve full or partial functions without relying on smartphones, such as smart watches or smart glasses, as well as those that only focus on a certain type of application function and need to be used in conjunction with other devices such as smartphones, such as various smart bracelets and smart jewelry for vital sign monitoring.

[0096] Furthermore, terminal devices can also be end devices in IoT systems. IoT is a crucial component of future information technology development. Its primary technical feature is connecting objects to the internet through communication technologies, thereby enabling intelligent networks that interconnect humans and machines, and objects and things. IoT technology, for example, utilizes narrowband (NB) technology to achieve massive connectivity, deep coverage, and power-saving terminals.

[0097] In order to better understand the technical solutions described in the embodiments of the present application, the following briefly describes some of the technical terms involved in the embodiments of the present application.

[0098] 1. Radar cross section (RCS):

[0099] RCS is defined as the ratio of the power scattered by the target to the receiver within a unit solid angle to the power density of the incident wave on the target. The mathematical description of RCS can be: RCS = lim n→∞ 4πR 2 S s / S i (1)

[0100] In formula (1), R is the distance between the target and the receiver, S s is the scattered power density at the receiver, S i is the incident power density measured at the target.

[0101] RCS is a physical quantity that can be used to characterize the intensity of the echo generated by a target when it is illuminated by radar waves.

[0102] RCS, also known as backscatter cross section, is a measure of the ability of a target in the radar's direction to scatter a radar signal. It can be expressed as the normalized power density of the incident field. RCS is related to the frequency, azimuth, and polarization of the incident wave.

[0103] The RCS of a target can be obtained from a synthetic aperture radar (SAR) image of the target.

[0104] It should be noted that the application of RCS is not limited to radar sensing but can also be used in wireless sensing. In other words, RCS indicates the ratio between the transmitted power and the scattered power of the incident wave. The radar-related part of the RCS definition does not limit RCS to radar. As integrated interawareness architectures or technologies evolve, RCS may also be indicated by other names, such as power information, the ratio between incident power and scattered power, and wireless scattering cross section, without limitation.

[0105] 2. Target scattering characteristics:

[0106] The definition of target scattering characteristics can be: the change characteristics of the target scattering field (amplitude and phase) with the frequency of the incident wave, the change characteristics of the target scattering field with the orientation of the incident wave, the change characteristics of the target scattering field with the polarization mode of the incident wave, etc.

[0107] Among them, the target scattering characteristics can determine the specific content of the target's echo information that can be obtained by the wireless sensing system.

[0108] 3. Isotropic scattering targets and anisotropic scattering targets:

[0109] Isotropic and anisotropic scattering targets are distinguished based on the degree to which the target's scattering field varies with the direction of the incident wave. For example, an isotropic scattering target is one whose scattering field does not vary with the direction of the incident wave, while an anisotropic scattering target is one whose scattering field varies significantly with the direction of the incident wave.

[0110] Generally speaking, if the phase fluctuation of the scattered field of an anisotropic scattering target is less than π / 4, it can be approximately regarded as an isotropic target.

[0111] 4. Small aperture observation:

[0112] Figure 2 is a schematic diagram of small-aperture observation. As shown in Figure 2, a sensing node can sense a target within a small angle range. For example, the sensing node sends wireless signal 1 (indicated by a black arrow) to the target at angle 1 (e.g., 1°) and receives the signal reflected by the target from wireless signal 1. The sensing node sends wireless signal 2 (indicated by a black arrow) to the target at angle 2 (e.g., 2°) and receives the signal reflected by wireless signal 2 from the target. Sensing node 3 sends wireless signal 3 (indicated by a black arrow) to the target at angle 3 (e.g., 3°) and receives the signal reflected by wireless signal 3 from the target. Angles 1, 2, and 3 can constitute a small angle range (e.g., 1° to 3°).

[0113] As described above for isotropic scattering targets, in small-aperture observation scenarios, since the span between angles is small (which can be understood as the angular difference between the maximum angle and the minimum angle being within a threshold, such as 3°, or other values, which are not limited to this), coherent processing can be performed on the data obtained from a small angle range based on the assumption that the target is an isotropic scattering target.

[0114] The aforementioned "coherent processing" is the process of processing coherent signals. Coherent signals are signals with certain phase and frequency relationships, which exhibit a certain degree of coherence. In coherent processing, the phase and frequency relationships between signals can be exploited to extract useful information. For example, coherent accumulation can be used to enhance signal strength and improve system resolution.

[0115] In addition, the aforementioned "incoherent processing" refers to the process of processing incoherent signals. Incoherent signals are signals that have no obvious phase or frequency relationships and are not coherent with each other. In incoherent processing, the main focus is on the statistical properties of the signal, such as the mean, variance, and power spectrum. Incoherent processing is often used to process noisy signals, for example, through filtering, noise reduction, and other methods to improve the signal-to-noise ratio and achieve improved accuracy.

[0116] Specifically, the core of coherent processing requires the frequency and phase relationship of the signal to be known. For isotropic scattering targets, since their scattering characteristics remain consistent in all directions, there is no need to know the specific scattering characteristic distribution of the target. Only the coherence of the transmitted signal is required, and the received echo signal will naturally remain coherent. However, for anisotropic scattering targets, the received echo signal is equivalent to being loaded with different modulations in each direction. The frequency and phase relationship of the received signal cannot be simply derived from the frequency and phase relationship of the transmitted signal. If the specific scattering characteristic distribution of the target is unknown, the frequency and phase relationship of the received signal is also unknown. In this case, the signal can be considered incoherent and can only be processed incoherently. Taking signal demodulation as an example, during the signal processing process, the receiver requires the frequency and phase information of the original signal to be coherently processed, which is called coherent demodulation. If only the envelope of the received signal is used as the information for processing, it is called incoherent demodulation.

[0117] 5. Large-aperture observation:

[0118] Figure 3 is a schematic diagram of large aperture observation. As shown in Figure 3, the sensing node can sense the target within a wide angle range. For example, the sensing node sends wireless signal 1 (indicated by a black arrow) to the target at angle 1 (for example, 1°), and receives the signal obtained by the target reflecting wireless signal 1. The sensing node sends wireless signal 2 (indicated by a black arrow) to the target at angle 2 (for example, 2°), and receives the signal obtained by the target reflecting wireless signal 2. The sensing node 3 sends wireless signal 3 (indicated by a black arrow) to the target at angle 3 (for example, 3°), and receives the signal obtained by the target reflecting wireless signal 3. The sensing node sends wireless signal 4 (indicated by a black arrow) to the target at angle 4 (for example, 4°), and receives the signal obtained by the target reflecting wireless signal 4. The sensing node sends wireless signal 5 (indicated by a black arrow) to the target at angle 5 (for example, 5°), and receives the signal obtained by the target reflecting wireless signal 5. The target sends wireless signal 5 (indicated by a black arrow) and receives the signal obtained by reflecting wireless signal 5 from the target. The sensing node 3 sends wireless signal 6 (indicated by a black arrow) to the target at an angle 6 (for example, 6°) and receives the signal obtained by reflecting wireless signal 6 from the target. The sensing node sends wireless signal 7 (indicated by a black arrow) to the target at an angle 7 (for example, 7°) and receives the signal obtained by reflecting wireless signal 7 from the target. The sensing node sends wireless signal 8 (indicated by a black arrow) to the target at an angle 8 (for example, 8°) and receives the signal obtained by reflecting wireless signal 8 from the target. The sensing node 9 sends wireless signal 9 (indicated by a black arrow) to the target at an angle 9 (for example, 9°) and receives the signal obtained by reflecting wireless signal 9 from the target.

[0119] Among them, the above-mentioned Angle 1-Angle 9 can constitute a large angle range (for example, 1°~9°) (it can be understood that the angle difference between the maximum angle and the minimum angle is outside the threshold, such as 3°, or other values, which are not limited to this).

[0120] Since most targets are anisotropic scattering targets, in small-aperture observation scenarios, the targets can be approximated as isotropic scattering targets. However, in large-aperture observation scenarios, the assumption that the targets are isotropic scattering targets no longer holds. At this time, if the data obtained in large-aperture observations are coherently processed based on the assumption of isotropic scattering targets, there will be obvious defocusing and distortion.

[0121] In view of this, embodiments of the present application provide a method, a communication device, and a system for information transmission, which can support appropriate processing of data acquired in large-aperture observation scenarios.

[0122] The following describes the information transmission method, communication device, and system according to the embodiments of the present application in conjunction with the accompanying drawings.

[0123] For ease of understanding and explanation, the following describes the information transmission method of the embodiment of the present application using the interaction between the first device and the second device as an example, but this should not constitute any limitation on the execution subject of the information transmission method of the embodiment of the present application. For example, the first device shown below can be replaced by a component configured in the first device (such as a circuit, chip, or chip system, etc.), and the second device can be replaced by a component configured in the second device (such as a circuit, chip, or chip system, etc.).

[0124] It should be noted that the apparatus described in the embodiments of the present application may be a communication device, or a device, or a component in a device, or a chip system, etc., without limitation. For example, the first apparatus may be a first device, or a first component, or a first chip, etc.

[0125] It should be noted that the first device and the second device mentioned above can be the sensing nodes in Figure 1.

[0126] FIG4 is a schematic diagram of an interactive flow of a method for information transmission according to an embodiment of the present application. As shown in FIG4 , the method includes:

[0127] S401. A first device acquires at least two data, where each of the at least two data includes scattering characteristic information obtained by sensing a target 1 at a corresponding measurement angle (or observation angle).

[0128] For example, the first device can obtain data from different measurement devices, e.g., measurement device 1 sends data 1 to the first device, measurement device 2 sends data 2 to the first device, measurement device 3 sends data 3 to the first device, etc. The different measurement devices can form a measurement device group. The first device can also obtain data from different measurement device groups.

[0129] For another example, the first device may obtain the at least two data from a measuring device. For example, the measuring device 1 obtains data from another measuring device and sends the at least two data to the first device.

[0130] In summary, this application does not limit the way or method for the first device to obtain the at least two data mentioned above.

[0131] The above-mentioned measurement angle can be determined with target 1 as a reference object, or with other objects (such as the first device) as a reference object, and this is not limited. For ease of description, the following description takes the measurement angle determined with target 1 as a reference object as an example.

[0132] Target 1 may be a complete object or a portion of a complete object, and this is not limited thereto. Furthermore, when target 1 is a portion of a complete object, the present application also supports appropriate processing of data obtained from the complete object through the technical solutions described in the embodiments of the present application.

[0133] For ease of description, the following uses 10 data points as an example. For example, a first device acquires 10 data points, each of which includes scattering characteristic information obtained by sensing target 1 at a corresponding measurement angle. The relationship between data points, measurement angles, and scattering characteristic information can be found in Table 1. The information in Table 1 is intended for illustrative purposes only and is not intended to be definitive.

[0134] Table 1

[0135] As shown in Table 1:

[0136] · Target 1 is sensed at measurement angle 1, and data 1 including scattering characteristic information 1 is obtained;

[0137] · Target 1 is sensed at measurement angle 2, and data 2 including scattering characteristic information 2 is obtained;

[0138] · Sense target 1 at measurement angle 3 and obtain data 3 including scattering characteristic information 3;

[0139] · sensing the target 1 at a measurement angle 4 and acquiring data 4 including scattering characteristic information 4;

[0140] · sensing target 1 at measurement angle 5 and acquiring data 5 including scattering characteristic information 5;

[0141] · sensing the target 1 at a measurement angle 6 and acquiring data 6 including scattering characteristic information 6;

[0142] · sensing the target 1 at a measurement angle 7 and acquiring data 7 including scattering characteristic information 7;

[0143] · sensing the target 1 at a measurement angle 8 and acquiring data 8 including scattering characteristic information 8;

[0144] · sensing the target 1 at a measurement angle 9 and acquiring data 9 including scattering characteristic information 9;

[0145] · Target 1 is sensed at a measurement angle 10 and data 10 including scattering characteristic information 10 is acquired.

[0146] The embodiment of the present application does not limit the intervals between the above-mentioned measurement angles. For example, the intervals can be 1°, 2°, etc. For example, if the interval is 1°, measurement angle 1 is 1°, measurement angle 2 is 2°, ..., measurement angle 10 is 10°; if the interval is 2°, measurement angle 1 is 1°, measurement angle 2 is 3°, ..., measurement angle 10 is 19°, etc.

[0147] Optionally, the intervals between the above-mentioned measurement angles may be uniform or non-uniform, for example, measurement angle 1 is 1°, measurement angle 2 is 2°, measurement angle 3 is 2.5°, and so on.

[0148] It should be noted that the above-mentioned measurement angle can be an azimuth angle or a pitch angle, and the unit is radian or angle.

[0149] It should also be noted that the above-mentioned measurement angle can also be replaced by a measurement position (which can be determined with the target 1 as a reference object), and the measurement position can be used to determine the measurement angle.

[0150] In one possible implementation, the scattering characteristic information may be at least one of the following:

[0151] RCS, scattered intensity, and scattered phase.

[0152] The scattering intensity refers to the intensity of the scattered signal, and the scattering phase refers to the phase of the scattered signal. Thus, the at least two data items can be classified using one or more of the above criteria, thereby determining at least one of the data items that satisfy a coherent relationship and the data items that satisfy an incoherent relationship.

[0153] The information carried by different scattering characteristic information may be different or the same, and this is not limited. For example, the information carried by scattering characteristic information 1 may be the same as the information carried by scattering characteristic information 2, or may be different from the information carried by scattering characteristic information 2.

[0154] Furthermore, the types of information carried by different scattering characteristic information need to be the same. For example, scattering characteristic information 1 to scattering characteristic information 10 all carry RCS, scattering intensity, or scattering phase, etc. This helps the first device process the scattering characteristic information 1 to scattering characteristic information 10.

[0155] In one possible implementation, some or all of the above 10 data are source data obtained by sensing the target at the corresponding measurement angle, or some or all of the above 10 data are data obtained by processing the source data obtained by sensing the target at the corresponding measurement angle.

[0156] In this way, by processing two or more source data or data obtained after source data processing (including scattering characteristic information of the target), the scattering characteristic information of the target can be obtained, thereby realizing angle division, and then coherent processing and incoherent processing of the above at least two data are respectively realized, so that resolution gain and accuracy gain can be achieved simultaneously.

[0157] The “source data” mentioned above refers to the original echo signal data obtained by sensing the target.

[0158] For example, data 1 is the source data obtained by sensing target 1 at measurement angle 1, data 2 is the source data obtained by sensing target 1 at measurement angle 2, data 3 is the source data obtained by sensing target 1 at measurement angle 3, data 4 is the source data obtained by sensing target 1 at measurement angle 4, data 5 is the source data obtained by sensing target 1 at measurement angle 5, data 6 is the source data obtained by sensing target 1 at measurement angle 6, data 7 is the source data obtained by sensing target 1 at measurement angle 7, data 8 is the source data obtained by sensing target 1 at measurement angle 8, data 9 is the source data obtained by sensing target 1 at measurement angle 9, and data 10 is the source data obtained by sensing target 1 at measurement angle 10.

[0159] For another example, data 1 is the source data obtained by sensing target 1 at measurement angle 1, data 2 is the data obtained by processing the source data obtained by sensing target 1 at measurement angle 2, data 3 is the source data obtained by sensing target 1 at measurement angle 3, data 4 is the source data obtained by sensing target 1 at measurement angle 4, data 5 is the data obtained by processing the source data obtained by sensing target 1 at measurement angle 5, data 6 is the source data obtained by sensing target 1 at measurement angle 6, data 7 is the source data obtained by sensing target 1 at measurement angle 7, data 8 is the source data obtained by sensing target 1 at measurement angle 8, data 9 is the source data obtained by sensing target 1 at measurement angle 9, and data 10 is the source data obtained by sensing target 1 at measurement angle 10.

[0160] For another example, data 1 is data obtained by processing the source data obtained by sensing the target 1 at the measurement angle 1, data 2 is data obtained by processing the source data obtained by sensing the target 1 at the measurement angle 2, data 3 is data obtained by processing the source data obtained by sensing the target 1 at the measurement angle 3, data 4 is data obtained by processing the source data obtained by sensing the target 1 at the measurement angle 4, data 5 is data obtained by processing the source data obtained by sensing the target 1 at the measurement angle 5, data 6 is data obtained by processing the source data obtained by sensing the target 1 at the measurement angle 6, data 7 is data obtained by processing the source data obtained by sensing the target 1 at the measurement angle 7, data 8 is data obtained by processing the source data obtained by sensing the target 1 at the measurement angle 8, data 9 is data obtained by processing the source data obtained by sensing the target 1 at the measurement angle 9, and data 10 is data obtained by processing the source data obtained by sensing the target 1 at the measurement angle 10.

[0161] It should be noted that the above-mentioned “processing of source data” includes at least one of filtering, focusing, mapping and other processing, and the data obtained after processing the source data should include the scattering characteristic information of the target.

[0162] S402. The first device sends instruction information 1 to the second device.

[0163] Correspondingly, the second device receives indication information 1.

[0164] The indication information 1 indicates at least one of the data satisfying the coherent relationship and the data satisfying the incoherent relationship among the above 10 data.

[0165] For example, the indication information 1 indicates the data satisfying the coherence relationship among the 10 data. Accordingly, the data other than the data satisfying the coherence relationship among the 10 data satisfy the incoherence relationship.

[0166] It should be noted that data satisfying a coherent relationship means that the signal data have a certain phase relationship and frequency relationship. In addition, data satisfying an incoherent relationship means that the signal data have no obvious phase relationship and frequency relationship.

[0167] For another example, the indication information 1 indicates the data satisfying the incoherent relationship among the 10 data. Accordingly, the data other than the data satisfying the incoherent relationship among the 10 data satisfy the coherent relationship.

[0168] For another example, indication information 1 indicates the data satisfying the coherent relationship and the data satisfying the incoherent relationship among the above 10 data.

[0169] The description of the data satisfying the coherence relationship and the data satisfying the incoherence relationship can be found in Table 2. The contents shown in Table 2 are only to be understood as examples and are not to be construed as final limitations.

[0170] Table 2

[0171] As shown in Table 2:

[0172] Data 1 to 5 are coherent data, and data 6 to 10 are incoherent data.

[0173] Data 1 and Data 2 are data that satisfy a coherent relationship, Data 6 and Data 7 are data that satisfy a coherent relationship, Data 3-Data 5 are data that satisfy an incoherent relationship, and Data 8-Data 10 are data that satisfy an incoherent relationship;

[0174] Data 1 to 3 are coherent data, data 6 to 10 are coherent data, and data 4 and 5 are incoherent data.

[0175] Data 1 to Data 4 are data that satisfy a coherent relationship, and Data 6 to Data 10 are data that satisfy a coherent relationship.

[0176] It should be noted that, if there are multiple groups of data that satisfy a coherent relationship, then the multiple groups of data that satisfy a coherent relationship satisfy an incoherent relationship.

[0177] In one possible implementation, the indication information 1 indicates the coherent and incoherent relationships between data through the label information of the data (which can be carried in the data itself, or can be carried in the information used to carry the data, and this is not limited to this).

[0178] For example, each data acquired by the first device includes a corresponding label, such as data 1 carries label 1, data 2 carries label 2, data 3 carries label 3, data 4 carries label 4, data 5 carries label 5, data 6 carries label 6, data 7 carries label 7, data 8 carries label 8, data 9 carries label 9, and data 10 carries label 10. Therefore, the first device can configure a common set index for data that meets a coherent relationship.

[0179] In combination with Table 2, an example is given, where data 1-data 5 are data that satisfy a coherent relationship, the first device configures index 1 for data 1-data 5, and index 1 is associated with data 1-data 5; data 6-data 10 are data that satisfy an incoherent relationship, the first device configures index 2 for data 6-data 10, and index 2 is associated with data 6-data 10.

[0180] Furthermore, the first device and the second device may agree on the meaning of the index, for example, index 1 can be used to indicate that a coherent relationship is satisfied, and index 2 can be used to indicate that an incoherent relationship is satisfied, etc.

[0181] In conjunction with Table 2, an example, data 1-data 2 is data that satisfies a coherent relationship, the first device configures index 1 for data 1-data 2, and the index 1 is associated with data 1-data 2, data 6 and data 7 are data that satisfy a coherent relationship, the first device configures index 2 for data 6-data 7, and the index 2 is associated with data 6-data 7, data 3-data 5 are data that satisfy an incoherent relationship, the first device configures index 3 for data 3-data 5, and the index 3 is associated with data 3-data 5, data 8-data 10 are data that satisfy an incoherent relationship, the first device configures index 4 for data 8-data 10, and the index 4 is associated with data 8-data 10.

[0182] Furthermore, the first device and the second device may agree on the meaning of the index, for example, index 1 and index 2 can be used to indicate that a coherent relationship is satisfied, and index 3 and index 4 can be used to indicate that an incoherent relationship is satisfied, etc.

[0183] In combination with Table 2, an example is given, where data 1-data 3 are data that satisfy a coherent relationship, the first device configures index 1 for data 1-data 3, data 6-data 10 are data that satisfy a coherent relationship, the first device configures index 2 for data 6-data 10, data 4 and data 5 are data that satisfy an incoherent relationship, and the first device configures index 3 for data 4 and data 5.

[0184] Furthermore, the first device and the second device may agree on the meaning of the index, for example, index 1 and index 2 can be used to indicate that a coherent relationship is satisfied, and index 3 can be used to indicate that an incoherent relationship is satisfied, etc.

[0185] In conjunction with Table 2, an example is given. Data 1 to Data 4 are data that satisfy a coherent relationship. The first device configures index 1 for Data 1 to Data 4. Data 6 to Data 10 are data that satisfy a coherent relationship. The first device configures index 2 for Data 6 to Data 10.

[0186] Furthermore, the first device and the second device may agree on the meaning of the index, for example, index 1 and index 2 can be used to indicate that a coherent relationship is satisfied.

[0187] In another possible implementation, the indication information 1 may include at least one angle range, wherein data corresponding to different measurement angles within an angle range satisfy a coherent relationship or an incoherent relationship.

[0188] For example, the at least one angle range mentioned above includes a first angle range, and the data corresponding to the measurement angles belonging to the first angle range satisfy a coherent relationship, or the data corresponding to the measurement angles belonging to the first angle range satisfy an incoherent relationship.

[0189] For another example, the at least one angle range mentioned above also includes a second angle range, and the data corresponding to the measurement angles belonging to the second angle range satisfy an incoherent relationship, or the data corresponding to the measurement angles belonging to the second angle range satisfy a coherent relationship.

[0190] Specifically, there is an association between the angle and the data within each angle range, and different angle ranges can be used to indicate at least one of the at least two data that satisfy the coherent relationship and the data that satisfy the incoherent relationship, which can reduce the signaling indication overhead.

[0191] When at least one of the above-mentioned angle ranges includes a first angle range, and the data corresponding to the measured angles belonging to the first angle range satisfy a coherent relationship, the second device can perform coherent processing (such as coherent accumulation, etc.) on the data corresponding to the angles within the first angle range so as to achieve resolution gain, or, when the data corresponding to the measured angles belonging to the first angle range satisfy an incoherent relationship, the second device can perform incoherent processing (such as incoherent accumulation, etc.) on the data corresponding to the angles within the first angle range so as to achieve accuracy gain.

[0192] When at least one of the above-mentioned angle ranges includes a second angle range, and the data corresponding to the measured angles belonging to the second angle range satisfy a coherent relationship, the second device can perform coherent processing (such as coherent accumulation, etc.) on the data corresponding to the angles within the second angle range so as to achieve resolution gain, or, when the data corresponding to the measured angles belonging to the second angle range satisfy an incoherent relationship, the second device can no longer perform coherent processing on the data corresponding to the angles within the second angle range to avoid interference with the remaining data, but instead perform incoherent processing (such as incoherent accumulation, etc.) to improve the signal-to-noise ratio, thereby achieving accuracy gain.

[0193] It should be noted that the data corresponding to the first angle range and the data corresponding to the second angle range satisfy an incoherent relationship. Thus, the data corresponding to the angles within the first angle range are no longer coherently processed with the data corresponding to the angles within the second angle range to avoid interference between the data corresponding to the angles within the first angle range and the data corresponding to the angles within the second angle range.

[0194] It can be understood that each data includes data obtained by sensing the target 1 at a corresponding measurement angle, and therefore, there is a corresponding relationship between the data and the measurement angle.

[0195] In one possible implementation, each of the 10 data items may further include a corresponding measurement angle. Thus, the first device may indicate at least one of the coherent data items and the incoherent data items among the 10 data items by indicating an angle range.

[0196] For a description of the angle range, please refer to Table 3. The content shown in Table 3 is only understood as an example and is not a final limitation.

[0197] Table 3

[0198] As shown in Table 3:

[0199] Angle range 1 includes {measurement angle 1, measurement angle 2, measurement angle 3, measurement angle 4, measurement angle 5}, and angle range 2 includes {measurement angle 6, measurement angle 7, measurement angle 8, measurement angle 9, measurement angle 10};

[0200] Angle range 1 includes {measurement angle 1, measurement angle 2}, angle range 2 includes {measurement angle 6, measurement angle 7}, angle range 3 includes {measurement angle 3, measurement angle 4, measurement angle 5}, and angle range 4 includes {measurement angle 8, measurement angle 9, measurement angle 10};

[0201] Angle range 1 includes {measurement angle 1, measurement angle 2, measurement angle 3}, angle range 2 includes {measurement angle 6, measurement angle 7, measurement angle 8, measurement angle 9, measurement angle 10}, and angle range 3 includes {measurement angle 4, measurement angle 5};

[0202] Angle range 1 includes {measurement angle 1, measurement angle 2, measurement angle 3, measurement angle 4}, angle range 2 includes {measurement angle 6, measurement angle 7, measurement angle 8, measurement angle 9, measurement angle 10}, and angle range 3 includes {measurement angle 5}.

[0203] It should be noted that in order to enable the second device to determine the type of data relationship corresponding to each angle range, the first device can configure a label for the angle range corresponding to the data that satisfies the coherent relationship, and configure a label for the angle range corresponding to the data that satisfies the incoherent relationship, and the meaning of the label can be predefined by the protocol, or can be indicated by the first device to the second device, which is not limited.

[0204] The indication information 1 is determined by the first device according to the scattering characteristic information included in each of the 10 data.

[0205] For example, the indication information 1 is determined based on the derivative of the RCS included in each data with respect to the measurement angle; or,

[0206] For example, the indication information 1 is determined based on the statistical characteristics of the RCS included in each data relative to the measurement angle; or,

[0207] For example, the indication information 1 is determined according to the derivative of the scattering phase included in each data with respect to the measurement angle; or,

[0208] For example, the indication information 1 is determined based on the statistical characteristics of the scattering phase included in each data relative to the measurement angle; or,

[0209] For example, the indication information 1 is determined according to the derivative of the scattering intensity included in each data with respect to the measurement angle; or,

[0210] For example, the indication information 1 is determined according to the statistical characteristics of the scattering intensity included in each data versus the measurement angle.

[0211] For the above description, please refer to Table 4. The contents shown in Table 4 are for example only and are not intended to be definitive. For ease of description, the following description uses the scattering characteristic information as RCS as an example, but the following description is also applicable to the scattering characteristic information as scattering intensity and scattering phase.

[0212] Table 4

[0213] As shown in Table 4:

[0214] For data 1, the RCS value of target 1 at measurement angle 1 is 10, and the corresponding derivative of the RCS with respect to the measurement angle is 1.5;

[0215] For data 2, the RCS value of target 1 at measurement angle 2 is 10.5, and the corresponding derivative of the RCS with respect to the measurement angle is 1.2;

[0216] For data 3, the RCS value of target 1 at measurement angle 3 is 10.8, and the corresponding derivative of the RCS with respect to the measurement angle is 1.5;

[0217] For data 4, the RCS value of target 1 at measurement angle 4 is 11.5, and the corresponding derivative of the RCS with respect to the measurement angle is 1.3;

[0218] For data 5, the RCS value of target 1 at measurement angle 5 is 11.9, and the corresponding derivative of the RCS with respect to the measurement angle is 1.4;

[0219] For data 6, the RCS value of target 1 at measurement angle 6 is 25, and the corresponding RCS derivative with respect to the measurement angle is 4;

[0220] For data 7, the RCS value of target 1 at measurement angle 7 is 25, and the corresponding RCS derivative with respect to the measurement angle is 6;

[0221] For data 8, the RCS value of target 1 at measurement angle 8 is 68, and the corresponding derivative of the RCS with respect to the measurement angle is 7;

[0222] For data 9, the RCS value of target 1 at measurement angle 9 is 98, and the corresponding derivative of RCS with respect to the measurement angle is 8;

[0223] For data 10, the RCS value of target 1 at the measurement angle 10 is 138, and the corresponding derivative of the RCS with respect to the measurement angle is 9.

[0224] Furthermore, a threshold may be set, for example, threshold = 2. If the derivative value of the RCS corresponding to the partial data with respect to the measurement angle is less than or equal to the threshold, the partial data satisfy a coherence relationship.

[0225] Combined with Table 4, the derivative value of the RCS with respect to the measurement angle corresponding to each data in Data 1 to Data 5 is less than 2, and the derivative value of the RCS with respect to the measurement angle corresponding to each data in Data 6 to Data 10 is greater than 2. Therefore, Data 1 to Data 5 are data that satisfy the coherent relationship, and Data 6 to Data 10 are data that satisfy the incoherent relationship.

[0226] In addition, the above content is described using the derivative of RCS with respect to the measurement angle as an example. The above description is also applicable to the derivative of the scattering intensity with respect to the measurement angle and the derivative of the scattering phase with respect to the measurement angle, and will not be repeated here.

[0227] Among them, the embodiment of the present application also supports distinguishing the data satisfying the coherent relationship and the data satisfying the incoherent relationship among the above 10 data based on the statistical characteristics of RCS for the measurement angle.

[0228] For example, based on the statistical characteristics of the RCS value, the K-means method can be used for clustering, and the distances between 10 RCSs can be clustered into two categories. The K-means algorithm can divide the sample set into 2 clusters according to the distance between the samples based on the given sample set. In this embodiment of the present application, the distances between the RCS values ​​corresponding to data 1 to 5 are close, and they can be divided into 1 cluster. The distances between the RCS values ​​corresponding to data 6 to 10 are not close, and they can be divided into another cluster. That is, data 1-data 5 are data that meet the coherent relationship, and data 6-data 10 are data that meet the incoherent relationship. Of course, this embodiment of the present application can also support the use of other clustering methods, such as Fuzzy C-means, Hierarchical, Mixture of Gaussians, or use machine learning, neural network and other technologies to complete classification, which is not limited to this. It should be noted that the first device can also broadcast the above-mentioned indication information 1 to other devices.

[0229] In one possible implementation, the indication information 1 may also include identification information of the target 1, which can be used to indicate that the target 1 is associated with at least one of the aforementioned angle ranges. In this way, the second device can appropriately process the at least two data items corresponding to the target, thereby better completing the task of perceiving the target.

[0230] The aforementioned “angle range and target association” may be: the angle range and the perceived target association.

[0231] By associating the angle range and the target, the first device can determine at least one of the data that satisfies a coherent relationship and the data that satisfies an incoherent relationship among the at least two data corresponding to the target. The second device can also appropriately process the at least two data corresponding to the target, so as to better complete the perception task of the target, and avoid mismatches between at least one angle range and the target, thereby avoiding a decline in perception quality.

[0232] The identification information of target 1 includes at least one of the coordinate information of target 1 (which may include the earth coordinate system or an agreed upper coordinate system, etc.), an index, and a label.

[0233] S403: The second device processes at least two data according to instruction information 1.

[0234] For example, the second device can determine the data that meets the coherent relationship and the data that meets the incoherent relationship among the above 10 data based on the indication information 1, and perform coherent processing on the data that meets the coherent relationship and perform incoherent processing on the data that meets the incoherent relationship, and then perform comprehensive processing on the above data.

[0235] In summary, the first device can classify data based on the scattering characteristic information included in the data. For example, the first device can classify the at least two data items into at least two categories based on the scattering characteristic information included in each of the at least two data items, such as data satisfying a coherent relationship and data satisfying an incoherent relationship. The first device can indicate to the second device the type or relationship between different data items in the at least two data items. Furthermore, the second device can perform corresponding data processing on different types of data, such as performing coherent processing on data satisfying a coherent relationship and performing incoherent processing on data satisfying an incoherent relationship.

[0236] Compared with the existing scheme of processing at least two data using the same data processing method (such as coherent processing or incoherent processing), the above scheme can simultaneously bring resolution gain (coherent processing of data that satisfy the coherent relationship) and accuracy gain (incoherent processing of data that satisfy the incoherent relationship).

[0237] In summary, through the above technical solutions, the present application can support appropriate processing of data acquired in large-aperture observation scenes. For example, coherent processing of data that satisfies a coherent relationship can bring resolution gain, and incoherent processing of data that satisfies an incoherent relationship can bring precision gain. In this way, both resolution gain and precision gain can be achieved simultaneously.

[0238] Specifically, the azimuth and elevation resolution of the measuring device depends on the size of the measurement angle range corresponding to the data that satisfies the coherence relationship. Taking the continuous measurement angle in azimuth as an example, the theoretical value of the azimuth resolution can be written as:

[0239] In formula (2), ρ is a constant, λ is the wavelength, R is the distance from the target to the center of the azimuth aperture, D is the size of the azimuth aperture, and θ is the angle between the line connecting the target and the center of the azimuth aperture and the normal to the azimuth aperture. is the measurement angle range corresponding to the azimuth aperture relative to the target. Therefore, coherent processing is performed on multiple sets of data that meet the coherence relationship, which is equivalent to increasing A resolution gain can be obtained.

[0240] The theoretical value of the target's azimuth measurement accuracy can be written as:

[0241] In formula (3), α is a constant, δ is the azimuth measurement resolution, and SNR is the signal-to-noise ratio (SNR). Incoherent data can be accumulated incoherently. For example, the data can be modulo-superimposed. Incoherent accumulation can improve the SNR value, thereby achieving accuracy gain.

[0242] In other words, the first device can classify the data according to the scattering characteristic information obtained by sensing the target 1 at the corresponding measurement angle included in the data. For example, the first device distinguishes the data satisfying the coherent relationship and the data satisfying the incoherent relationship among the at least two data obtained by sensing the target 1, and the second device performs coherent processing on the data satisfying the coherent relationship and performs incoherent processing on the data satisfying the incoherent relationship. In this way, it can support appropriate processing of the data obtained in the large aperture observation scene.

[0243] It should be noted that the accuracy mentioned above can be understood as the degree of difference between the measurement result and the true value, usually expressed as error. The resolution mentioned above can be understood as the minimum value that can be effectively distinguished.

[0244] It should be noted that the second device may also obtain the 10 data from other devices, or may have the 10 data itself, and this is not limited.

[0245] The method shown in FIG. 4 is further described below in conjunction with FIG. 5 and FIG. 6 .

[0246] Figure 5 is a schematic diagram of a perception scenario according to an embodiment of the present application. As shown in Figure 5, taking the perception of target 1 by four measuring devices as an example, measuring device 1 perceives target 1 at a first angle and obtains measurement data corresponding to the first angle; measuring device 2 perceives target 1 at a second angle and obtains measurement data corresponding to the second angle; measuring device 3 perceives target 1 at a third angle and obtains measurement data corresponding to the third angle; and measuring device 4 perceives target 1 at a fourth angle and obtains measurement data corresponding to the fourth angle.

[0247] Furthermore, each measuring device can send the data it obtains (which can be source data or data obtained after processing the source data, without limitation) to the first device, and the first device can determine the indication information 1 according to the method described in S402 above, and can send the indication information 1 to the first device (which can be one of the measuring devices 1-measuring device 4, or other devices, without limitation), or can send the indication information 1 to each measuring device (including the first device).

[0248] When the first device is one of the four measurement devices, it can obtain source data from the other measurement devices and process the obtained data according to instruction information 1. When the first device is a device other than the four measurement devices, it can obtain source data from the four measurement devices and process the obtained data according to instruction information 1.

[0249] The scenario shown in FIG5 is a fixed scenario, and each measuring device is a measuring device at a fixed position. The measuring device can be a terminal device or a network device, which is not limited.

[0250] Figure 6 is a schematic diagram of another perception scenario according to an embodiment of the present application. As shown in Figure 6, taking a measurement device performing multi-angle perception of a target 1 as an example, the measurement device 1 perceives the target 1 at a first angle and obtains data corresponding to the first angle; the measurement device 1 perceives the target 1 at a second angle and obtains data corresponding to the second angle; the measurement device 1 perceives the target 1 at a third angle and obtains data corresponding to the third angle; and the measurement device 1 perceives the target 1 at a fourth angle and obtains data corresponding to the fourth angle.

[0251] Furthermore, the measuring device 1 can send the acquired data (which can be source data, or data obtained after processing the source data, without limitation) to the first device, and the first device can determine the indication information 1 according to the method described in S402 above, and send the indication information 1 to the first device (which can be the measuring device 1 or other device, without limitation).

[0252] When the first device is a measuring device 1, it can process the obtained multiple data according to the instruction information 1. When the first device is a device other than the above-mentioned measuring device 1, it can obtain source data from the above-mentioned measuring device 1 and process the obtained multiple data according to the instruction information 1.

[0253] The scenario shown in FIG6 is a mobile scenario, and each measuring device is a measuring device with a non-fixed position. The measuring device may be a terminal device, which is not limited thereto.

[0254] It should be noted that the contents shown in FIG. 5 and FIG. 6 are only examples and are not intended to be definitive limitations.

[0255] It should also be noted that this application also supports hybrid perception scenarios consisting of fixed-position measurement devices and mobile measurement devices. The perception performed by the fixed-position measurement device can be called real aperture perception, and the perception performed by the mobile measurement device can be called virtual aperture perception. The combination of the two can be called hybrid aperture perception.

[0256] The simulation scenario and simulation results based on the above solution are described below with reference to FIG7 and FIG8 .

[0257] Figure 7 is a schematic diagram of a simulation scenario according to an embodiment of the present application. As shown in Figure 7 , the first device and the second device can both be drones (measurement equipment), and the measurement area includes two cylindrical buildings of varying heights. Target 1 can be a portion or part of the measurement area (see the portion indicated by the black dashed line in the figure).

[0258] The simulation parameters are set as follows: the drone carries a single sensing antenna with a center frequency of 3.5 GHz and a bandwidth of 400 MHz. The drone scans, transmits signals, and receives echo signals point by point in the air. The antenna path forms a planar aperture of 1.45 m x 2.9 m, with an angle of 30° with the X direction and 0° with the Z direction. The interval between scanning points is 8.57 cm.

[0259] FIG8 is a schematic diagram of a simulation result of an embodiment of the present application. The simulation result shown in FIG8 corresponds to the simulation experiment shown in FIG7. FIG8(a) shows the result of processing the data obtained when sensing the target 1 shown in FIG7 using an existing solution (such as coherent processing), and FIG8(b) shows the result of processing the data obtained when sensing the target 1 shown in FIG7 using the solution shown in FIG4.

[0260] By comparing Figure 8 (a) and Figure 8 (b), it can be seen that the technical processing results corresponding to the embodiment of the present application are basically consistent with the surface shape of the real target, and the processing results of the existing solution (using coherent processing) have a large number of artifacts and distortions. Further quantitative comparison of the distance from the point cloud in Figure 8 to the real target shows that the average distance from the point cloud in Figure 8 (b) to the target surface is 0.797m, with a variance of 0.666m, and the average distance from the point cloud in Figure 8 (a) to the target surface is 3.814m, with a variance of 5.101m. From the comparison results, it can be seen that compared with the existing solution, the technical solution recorded in this application can bring higher resolution and accuracy, and accordingly, can also bring better perceptual quality.

[0261] Finally, the device embodiment of the embodiment of the present application is introduced.

[0262] To implement the various functions of the method provided herein, both the first device and the second device may include hardware structures and / or software modules, and implement the aforementioned functions in the form of hardware structures, software modules, or a combination of hardware structures and software modules. Whether a particular one of the aforementioned functions is implemented in the form of hardware structures, software modules, or a combination of hardware structures and software modules depends on the specific application and design constraints of the technical solution.

[0263] Figure 9 is a schematic block diagram of a communication device according to an embodiment of the present application. The communication device includes a processor 910 and a communication interface 920, which may be interconnected via a bus 930. The communication device may be a first device or a second device.

[0264] Optionally, the communication device may further include a memory 940. The memory 940 includes, but is not limited to, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), or portable read-only memory (CD-ROM), and is used for related instructions and data.

[0265] The processor 910 may be one or more central processing units (CPUs). In the case where the processor 810 is a CPU, the CPU may be a single-core CPU or a multi-core CPU.

[0266] When the communication device is the first device, illustratively, the processor 910 is configured to perform the following operations: receive indication information 1; process at least two data according to the indication information 1, etc.

[0267] When the communication device is the second device, illustratively, the processor 910 is configured to perform the following operations: receiving at least two data; sending indication information 1, etc.

[0268] The above contents are described as examples only. The communication device is the first device or the second device, which is responsible for executing the methods or steps related to the first device or the second device in the above method embodiments.

[0269] The above description is only an exemplary description, and for specific details, please refer to the contents shown in the above method embodiment.

[0270] It should be noted that the implementation of each operation in FIG9 may also correspond to the corresponding description of the method embodiment shown in FIG4 .

[0271] Figure 10 is a schematic block diagram of another communication device according to an embodiment of the present application. The communication device may be the first device or the second device, or a chip or module in the first device or the second device, for implementing the method according to the above embodiment.

[0272] The communication device includes an interface unit 1010 and a processing unit 1020. The interface unit 1010 may include a transmitting unit and a receiving unit. The transmitting unit is configured to execute a transmitting operation of the communication device, and the receiving unit is configured to execute a receiving operation of the communication device. For ease of description, the embodiment of the present application combines the transmitting unit and the receiving unit into a single transceiver unit. This is described here as a unified description and will not be repeated later.

[0273] When the communication device is a first device, illustratively, the interface unit 1010 is configured to receive first information, etc. The processing unit 1020 is configured to execute the content of the first device involving processing, coordination, etc. For example, the processing unit 1020 is configured to receive instruction information 1; the processing unit 1020 is further configured to process at least two data according to the instruction information 1.

[0274] When the communication device is a second device, illustratively, the interface unit 1010 is used to receive at least two data and send indication information 1; the processing unit 1020 is used to execute the content of the second device involving processing, coordination, etc., for example, to determine indication information 1.

[0275] The above contents are described as examples only. The communication device is the first device or the second device, which is responsible for executing the methods or steps related to the first device or the second device in the above method embodiments.

[0276] Optionally, the communication device further includes a storage unit 1030, which is used to store a program or code for executing the aforementioned method.

[0277] It should be noted that the device embodiment shown in Figure 10 is used to implement the content described in Figure 4. The specific execution steps and methods of the device shown in Figure 10 can refer to the content described in the above method embodiment.

[0278] It should be noted that the device shown in Figures 9 and 10 may also be a chip or a chip system, etc., which is not limited to this. When the device shown in Figures 9 and 10 is a chip or a chip system, it can be used to implement the functions of the first device or the second device.

[0279] The present application also provides a chip, including a processor, for calling and executing instructions stored in a memory from the memory, so that a communication device equipped with the chip executes the methods in the above examples.

[0280] The present application also provides another chip, including: an input interface, an output interface, and a processor, wherein the input interface, the output interface, and the processor are connected via an internal connection path, and the processor is used to execute the code in the memory. When the code is executed, the processor is used to execute the methods in the above examples.

[0281] Optionally, the chip further includes a memory for storing computer programs or codes.

[0282] The present application also provides a processor for coupling with a memory, and for executing the methods and functions involving a network device or a terminal device in any of the above embodiments.

[0283] In another embodiment of the present application, a computer program product including instructions is provided. When the computer program product is run on a computer, the method of the above embodiment is implemented.

[0284] The present application also provides a computer program. When the computer program is executed in a computer, the method of the aforementioned embodiment is implemented.

[0285] In another embodiment of the present application, a computer-readable storage medium is provided, which stores a computer program. When the computer program is executed by a computer, the method described in the above embodiment is implemented.

[0286] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0287] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0288] In the several embodiments provided in this application, the disclosed systems, devices, and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0289] Units described as separate components may or may not be physically separate, and components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0290] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0291] If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the embodiment of the present application, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the various embodiments of the present application. The aforementioned storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a ROM, a RAM, a magnetic disk, or an optical disk.

[0292] The above is only a specific implementation of the embodiment of the present application, but the scope of protection of the embodiment of the present application is not limited to this. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed in the embodiment of the present application, and they should be included in the scope of protection of the embodiment of the present application. Therefore, the scope of protection of the embodiment of the present application should be based on the scope of protection of the claims.

Claims

1. A method for information transmission, characterized in that: include: Acquire at least two data, each of the at least two data includes scattering characteristic information obtained by sensing the target at a corresponding measurement angle; Sending indication information, where the indication information indicates at least one of the data satisfying a coherent relationship and the data satisfying an incoherent relationship in the at least two data, and the indication information is determined according to the scattering characteristic information included in each data.

2. The method according to claim 1, characterized in that The indication information includes at least one angle range, the at least one angle range includes a first angle range, and data corresponding to measurement angles belonging to the first angle range satisfy a coherent relationship.

3. The method according to claim 2, characterized in that The at least one angle range also includes a second angle range, and data corresponding to the measurement angles belonging to the second angle range satisfy an incoherent relationship.

4. The method according to claim 3, characterized in that The data corresponding to the first angle range and the data corresponding to the second angle range satisfy an incoherent relationship.

5. The method according to any one of claims 1 to 4, characterized in that The scattering characteristic information includes at least one of the following: Radar cross section, scattering phase, and scattering intensity.

6. The method according to any one of claims 1 to 5, characterized in that Part or all of the at least two data are source data acquired by sensing the target at a corresponding measurement angle; or, Part or all of the at least two data are data obtained by processing source data acquired by sensing the target at a corresponding measurement angle.

7. The method according to any one of claims 1 to 6, characterized in that The at least one angular range is associated with the target.

8. The method according to any one of claims 1 to 7, characterized in that The indication information also includes identification information of the target.

9. The method according to any one of claims 1 to 8, characterized in that The indication information is determined according to the scattering characteristic information included in each data, and includes: The indication information is determined according to the derivative of the radar scattering cross section included in each data with respect to the measurement angle; or, The indication information is determined according to the statistical characteristics of the radar cross section included in each data to the measurement angle; or, The indication information is determined according to the derivative of the scattering phase included in each data with respect to the measurement angle; or, The indication information is determined according to the statistical characteristics of the scattering phase included in each data relative to the measurement angle; or, The indication information is determined according to the derivative of the scattering intensity included in each data with respect to the measurement angle; or, The indication information is determined according to the statistical characteristics of the scattering intensity included in each data relative to the measurement angle.

10. A method for information transmission, characterized in that: include: receiving indication information, wherein the indication information indicates at least one of data satisfying a coherent relationship and data satisfying an incoherent relationship in at least two data, each of the at least two data including scattering characteristic information obtained by sensing a target at a corresponding measurement angle, and the indication information is determined according to the scattering characteristic information included in each of the data; The at least two data are processed according to the indication information.

11. The method according to claim 10, characterized in that The indication information includes at least one angle range, the at least one angle range includes a first angle range, and data corresponding to measurement angles belonging to the first angle range satisfy a coherent relationship.

12. The method according to claim 11, characterized in that The at least one angle range also includes a second angle range, and data corresponding to the measurement angles within the second angle range satisfy an incoherent relationship.

13. The method according to claim 12, characterized in that The data corresponding to the first angle range and the data corresponding to the second angle range satisfy an incoherent relationship.

14. The method according to any one of claims 10 to 13, characterized in that The scattering characteristic information includes at least one of the following: Radar cross section, scattering phase, and scattering intensity.

15. The method according to any one of claims 10 to 14, characterized in that Part or all of the at least two data are source data obtained by sensing the target at a corresponding measurement angle. data; or Part or all of the at least two data are data obtained by processing source data acquired by sensing the target at a corresponding measurement angle.

16. The method according to any one of claims 10 to 15, characterized in that The at least one angular range is associated with the target.

17. The method according to any one of claims 10 to 16, characterized in that The indication information also includes identification information of the target.

18. The method according to any one of claims 10 to 17, characterized in that The indication information is determined according to the scattering characteristic information included in each data, and includes: The indication information is determined according to the derivative of the radar scattering cross section included in each data with respect to the measurement angle; or, The indication information is determined according to the statistical characteristics of the radar cross section included in each data to the measurement angle; or, The indication information is determined according to the derivative of the scattering phase included in each data with respect to the measurement angle; or, The indication information is determined according to the statistical characteristics of the scattering phase included in each data relative to the measurement angle; or, The indication information is determined according to the derivative of the scattering intensity included in each data with respect to the measurement angle; or, The indication information is determined according to the statistical characteristics of the scattering intensity included in each data relative to the measurement angle.

19. The method according to any one of claims 10 to 18, characterized in that The method further comprises: At least one data is transmitted, the at least one data belonging to the at least two data.

20. A communication device, characterized in that: include: An interface unit, used to obtain at least two data, each of the at least two data including scattering characteristic information obtained by sensing the target at a corresponding measurement angle; The interface unit is further used to send indication information, where the indication information indicates at least one of the data satisfying a coherent relationship and the data satisfying an incoherent relationship among the at least two data, and the indication information is determined based on the scattering characteristic information included in each data.

21. The communication device according to claim 20, characterized in that: The indication information includes at least one angle range, the at least one angle range includes a first angle range, and data corresponding to measurement angles belonging to the first angle range satisfy a coherent relationship.

22. The communication device according to claim 21, characterized in that The at least one angle range also includes a second angle range, and data corresponding to the measurement angles belonging to the second angle range satisfy an incoherent relationship.

23. The communication device according to claim 22, characterized in that: The data corresponding to the first angle range and the data corresponding to the second angle range satisfy an incoherent relationship.

24. The communication device according to any one of claims 20 to 23, characterized in that: The scattering characteristic information includes at least one of the following: Radar cross section, scattering phase, and scattering intensity.

25. The communication device according to any one of claims 20 to 24, characterized in that: Part or all of the at least two data are source data acquired by sensing the target at a corresponding measurement angle; or, Part or all of the at least two data are data obtained by processing source data acquired by sensing the target at a corresponding measurement angle.

26. The communication device according to any one of claims 20 to 25, characterized in that: The at least one angular range is associated with the target.

27. The communication device according to any one of claims 20 to 26, characterized in that: The indication information also includes identification information of the target.

28. The communication device according to any one of claims 20 to 27, characterized in that: The indication information is determined according to the scattering characteristic information included in each data, and includes: The indication information is determined according to the derivative of the radar scattering cross section included in each data with respect to the measurement angle; or, The indication information is determined according to the statistical characteristics of the radar cross section included in each data to the measurement angle; or, The indication information is determined according to the derivative of the scattering phase included in each data with respect to the measurement angle; or, The indication information is determined according to the statistical characteristics of the scattering phase included in each data relative to the measurement angle; or, The indication information is determined according to the derivative of the scattering intensity included in each data with respect to the measurement angle; or, The indication information is determined according to the statistical characteristics of the scattering intensity included in each data relative to the measurement angle.

29. A communication device, characterized in that: include: an interface unit, configured to receive indication information, wherein the indication information indicates at least one of data satisfying a coherent relationship and data satisfying an incoherent relationship in at least two data, each of the at least two data comprising scattering characteristic information obtained by sensing a target at a corresponding measurement angle, and the indication information is determined according to the scattering characteristic information included in each of the data; A processing unit is used to process the at least two data according to the indication information.

30. The communication device according to claim 29, characterized in that The indication information includes at least one angle range, the at least one angle range includes a first angle range, and data corresponding to measurement angles belonging to the first angle range satisfy a coherent relationship.

31. The communication device according to claim 30, characterized in that: The at least one angle range also includes a second angle range, and data corresponding to the measurement angles within the second angle range satisfy an incoherent relationship.

32. The communication device according to claim 31, characterized in that The data corresponding to the first angle range and the data corresponding to the second angle range satisfy an incoherent relationship.

33. The communication device according to any one of claims 29 to 32, characterized in that: The scattering characteristic information includes at least one of the following: Radar cross section, scattering phase, and scattering intensity.

34. The communication device according to any one of claims 29 to 33, characterized in that: Part or all of the at least two data are source data acquired by sensing the target at a corresponding measurement angle; or, Part or all of the at least two data are data obtained by processing source data acquired by sensing the target at a corresponding measurement angle.

35. The communication device according to any one of claims 29 to 34, characterized in that: The at least one angular range is associated with the target.

36. The communication device according to any one of claims 29 to 35, characterized in that: The indication information also includes identification information of the target.

37. The communication device according to any one of claims 29 to 36, characterized in that: The indication information is determined according to the scattering characteristic information included in each data, and includes: The indication information is determined according to the derivative of the radar scattering cross section included in each data with respect to the measurement angle; or, The indication information is determined according to the statistical characteristics of the radar cross section included in each data to the measurement angle; or, The indication information is determined according to the derivative of the scattering phase included in each data with respect to the measurement angle; or, The indication information is determined according to the statistical characteristics of the scattering phase included in each data relative to the measurement angle; or, The indication information is determined according to the derivative of the scattering intensity included in each data with respect to the measurement angle; or, The indication information is determined according to the statistical characteristics of the scattering intensity included in each data relative to the measurement angle.

38. The communication device according to any one of claims 29 to 37, characterized in that: The interface unit is further used to send at least one data, where the at least one data belongs to the at least two data.

39. A communication device, characterized in that: Comprising modules for performing the method as claimed in any one of claims 1 to 9, or claims 10 to 19.

40. A communication device, characterized in that: include: A processor for executing computer instructions stored in the memory, so that the communication device performs the method according to any one of claims 1 to 9, or, So that the communication device performs the method according to any one of claims 10 to 19.

41. The communication device according to claim 40, characterized in that The communication device also includes a memory.

42. The communication device according to claim 40 or 41, characterized in that: The communication device further includes a communication interface, which is coupled to the processor and is used to input and / or output information.

43. A chip, characterized in that: The chip is connected to the memory, The chip is used to read and execute the software program stored in the memory, To perform the method according to any one of claims 1 to 9, or claims 10 to 19.

44. A communication system, characterized in that: Comprising a communication device as claimed in claim 39.

45. A computer-readable storage medium, characterized in that The computer readable storage medium stores computer instructions. When the computer instructions are executed on a computer, The method according to any one of claims 1 to 9 is performed, or, The method as claimed in any one of claims 10 to 19 is performed.

46. ​​A computer program product, characterized in that The computer program product includes computer program code, When the computer program code is run on a computer, The method according to any one of claims 1 to 9 is performed, or, The method as claimed in any one of claims 10 to 19 is performed.

Images