Communication perception integrated channel modeling method and device based on environmental scatterer

Abstract

The invention provides a communication perception integrated channel modeling method and device based on an environmental scatterer, and relates to the technical field of communication. The method comprises the steps that first information corresponding to a target communication scene and a scatterer influence factor are acquired, the scatterer influence factor is used for measuring the influence of an environmental scatterer EO reflection path on a target channel corresponding to the target communication scene, and the first information comprises first position information of an EO in the target communication scene; generating at least one parameter of the target channel according to the scatterer influence factor and the first position information; and determining a channel coefficient of the target channel according to the at least one parameter of the target channel. According to the scheme, the problem that an existing channel model is inaccurate in modeling is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of wireless communication and channel modeling, and in particular to a communication perception integrated channel modeling method and device based on environmental scatterers. Background Art

[0002] Integrated sensing and communication (ISAC) technology can integrate communication and environmental perception capabilities into the same system, so that base stations or terminals can perceive the surrounding environment while performing communication.

[0003] At present, ISAC technology has been widely used in the field of intelligent transportation, and can provide strong technical support for vehicle-to-everything (V2X) communication in macro road matching, vehicle self-positioning and global environment perception. Since the characteristics of the wireless channel determine the performance of wireless communication and even the perception system, it is very important to accurately understand the ISAC wireless channel of the vehicle network for the design and research of the communication system.

[0004] As a mainstream channel model, the Geometry-Based Stochastic Model (GBSM) has low complexity and unified evaluation criteria, and can provide effective support for ISAC channel modeling in the Internet of Vehicles.

[0005] However, the existing channel model mainly considers the impact of ground reflection on the channel. There are usually environmental scatterers (Environment Object, EO) in the environment (such as urban walls, fences, highway sound insulation panels, etc.) that can affect the channel. These scatterers are usually perpendicular to the ground, and it is difficult to effectively characterize their impact on the channel through the ground reflection model. Therefore, the existing channel model has the problem of inaccurate modeling. Summary of the invention

[0006] The purpose of the present invention is to provide a communication perception integrated channel modeling method and device based on environmental scatterers, which solves the problem of inaccurate modeling of existing channel models.

[0007] To achieve the above object, an embodiment of the present invention provides a communication perception integrated channel modeling method based on environmental scatterers, comprising:

[0008] Acquire first information and a scatterer influence factor corresponding to a target communication scenario, wherein the scatterer influence factor is used to measure the influence of a reflection path of an environmental scatterer EO on a target channel corresponding to the target communication scenario, wherein the first information includes first position information of the EO in the target communication scenario;

[0009] Generate at least one parameter of the target channel according to the scatterer influence factor and the first position information;

[0010] A channel coefficient of the target channel is determined according to at least one parameter of the target channel.

[0011] Optionally, the first information further includes: second location information of the base station and third location information of the terminal, and the parameters include: EO reflection path delay, EO reflection path angle and EO reflection path power;

[0012] The generating at least one parameter of the target channel according to the scatterer influence factor and the first position information includes:

[0013] Determine a geometric relationship between the EO, the base station and the terminal according to the first location information, the second location information and the second location information;

[0014] According to the geometric relationship, generating the EO reflection path time delay and the EO reflection path angle;

[0015] The EO reflection path power is generated according to the geometric relationship and the scatterer influence factor.

[0016] Optionally, generating the EO reflection path power according to the geometric relationship and the scatterer influence factor includes:

[0017] Generating a path loss corresponding to the target channel according to the geometric relationship;

[0018] Determining a non-line of sight (NLOS) path power corresponding to the target channel according to the path loss;

[0019] The product of the scatterer influence factor and the NLOS path power is determined as the EO reflection path power.

[0020] Optionally, determining a channel coefficient of the target channel according to at least one parameter of the target channel includes:

[0021] Generate an NLOS cluster delay and an NLOS cluster angle corresponding to the target channel according to the second location information and the second position information;

[0022] Determining a first channel coefficient corresponding to the NLOS path in the target communication scenario according to the NLOS cluster delay and the angle of the NLOS cluster;

[0023] Determine a second channel coefficient corresponding to the EO reflection path in the target communication scenario according to the EO reflection path delay, the EO reflection path angle, and the EO reflection path power;

[0024] According to the scatterer influence factor, a weighted sum operation is performed on the first channel coefficient and the second channel coefficient to obtain the channel coefficient of the target channel.

[0025] To achieve the above object, an embodiment of the present invention provides a communication perception integrated channel modeling device based on environmental scatterers, comprising:

[0026] A first acquisition module is used to acquire first information corresponding to a target communication scenario and a scatterer influence factor, wherein the scatterer influence factor is used to measure the influence of a reflection path of an environmental scatterer EO on a target channel corresponding to the target communication scenario, and the first information includes first position information of the EO in the target communication scenario;

[0027] A first generating module, configured to generate at least one parameter of the target channel according to the scatterer influence factor and the first position information;

[0028] The first processing module is used to determine a channel coefficient of the target channel according to at least one parameter of the target channel.

[0029] Optionally, the first information further includes: second location information of the base station and third location information of the terminal, and the parameters include: EO reflection path delay, EO reflection path angle and EO reflection path power;

[0030] The first generation module comprises:

[0031] a first processing unit, configured to determine a geometric relationship between the EO, the base station, and the terminal according to the first location information, the second location information, and the second location information;

[0032] A first generating unit, configured to generate the EO reflection path time delay and the EO reflection path angle according to the geometric relationship;

[0033] The second generating unit is used to generate the EO reflection path power according to the geometric relationship and the scatterer influence factor.

[0034] Optionally, the second generating unit includes:

[0035] A first generating subunit, configured to generate a path loss corresponding to the target channel according to the geometric relationship;

[0036] A first processing subunit, configured to determine a non-line-of-sight link NLOS path power corresponding to the target channel according to the path loss;

[0037] The second processing subunit is used to determine the product of the scatterer influence factor and the NLOS path power as the EO reflection path power.

[0038] Optionally, the first processing module includes:

[0039] A third generating unit, configured to generate an NLOS cluster delay and an NLOS cluster angle corresponding to the target channel according to the second position information and the second position information;

[0040] A second processing unit, configured to determine a first channel coefficient corresponding to the NLOS path in the target communication scenario according to the NLOS cluster delay and the angle of the NLOS cluster;

[0041] A third processing unit, configured to determine a second channel coefficient corresponding to the EO reflection path in the target communication scenario according to the EO reflection path delay, the EO reflection path angle, and the EO reflection path power;

[0042] The fourth processing unit is used to perform a weighted sum operation on the first channel coefficient and the second channel coefficient according to the scatterer influence factor to obtain the channel coefficient of the target channel.

[0043] To achieve the above object, an embodiment of the present invention provides a processing device, including a processor and a transceiver, wherein the processor is used to:

[0044] Acquire first information and a scatterer influence factor corresponding to a target communication scenario, wherein the scatterer influence factor is used to measure the influence of a reflection path of an environmental scatterer EO on a target channel corresponding to the target communication scenario, wherein the first information includes first position information of the EO in the target communication scenario;

[0045] Generate at least one parameter of the target channel according to the scatterer influence factor and the first position information;

[0046] A channel coefficient of the target channel is determined according to at least one parameter of the target channel.

[0047] Optionally, the first information further includes: second location information of the base station and third location information of the terminal, and the parameters include: EO reflection path delay, EO reflection path angle and EO reflection path power;

[0048] When the processor generates at least one parameter of the target channel according to the scatterer influence factor and the first position information, the processor is specifically configured to:

[0049] Determine a geometric relationship between the EO, the base station and the terminal according to the first location information, the second location information and the second location information;

[0050] According to the geometric relationship, generating the EO reflection path time delay and the EO reflection path angle;

[0051] The EO reflection path power is generated according to the geometric relationship and the scatterer influence factor.

[0052] Optionally, when the processor generates the EO reflection path power according to the geometric relationship and the scatterer influence factor, it is specifically used to:

[0053] Generating a path loss corresponding to the target channel according to the geometric relationship;

[0054] Determining, according to the path loss, a non-line-of-sight link NLOS path power corresponding to the target channel;

[0055] The product of the scatterer influence factor and the NLOS path power is determined as the EO reflection path power.

[0056] Optionally, when the processor determines the channel coefficient of the target channel according to at least one parameter of the target channel, it is specifically configured to:

[0057] Generate an NLOS cluster delay and an NLOS cluster angle corresponding to the target channel according to the second location information and the second position information;

[0058] Determining a first channel coefficient corresponding to the NLOS path in the target communication scenario according to the NLOS cluster delay and the angle of the NLOS cluster;

[0059] Determine a second channel coefficient corresponding to the EO reflection path in the target communication scenario according to the EO reflection path delay, the EO reflection path angle, and the EO reflection path power;

[0060] According to the scatterer influence factor, a weighted sum operation is performed on the first channel coefficient and the second channel coefficient to obtain the channel coefficient of the target channel.

[0061] To achieve the above-mentioned purpose, an embodiment of the present invention provides a processing device, including a transceiver, a processor, a memory, and a program or instruction stored in the memory and executable on the processor; when the processor executes the program or instruction, the communication perception integrated channel modeling method based on environmental scatterers as described above is implemented.

[0062] To achieve the above-mentioned object, a computer program product is provided, comprising computer instructions, which, when executed by a processor, implement the steps of the above-mentioned communication-aware integrated channel modeling method based on environmental scatterers.

[0063] To achieve the above objectives, an embodiment of the present invention provides a readable storage medium having a program or instruction stored thereon, which, when executed by a processor, implements the steps in the above-mentioned communication perception integrated channel modeling method based on environmental scatterers.

[0064] The beneficial effects of the above technical solution of the present invention are as follows:

[0065] The method of the embodiment of the present invention introduces a scatterer influence factor to characterize the influence of the EO reflection path of the environmental scatterer on the target channel, so as to determine the parameters of the target channel that can more truly reflect the channel characteristics, and then based on these parameters, a more accurate channel coefficient of the target channel can be obtained, thereby achieving accurate modeling of the target channel. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] Figure 1 It is a flow chart of a communication perception integrated channel modeling method based on environmental scatterers according to an embodiment of the present invention;

[0067] Figure 2 A schematic diagram of multipath propagation including an EO reflection path according to an embodiment of the present invention;

[0068] Figure 3 The channel simulation process including the EO reflection path according to an embodiment of the present invention;

[0069] Figure 4 The different K of the embodiments of the present invention EO Schematic diagram of the impact of factors on channel delay spread;

[0070] Figure 5 It is a structural diagram of a communication perception integrated channel modeling device based on environmental scatterers according to an embodiment of the present invention;

[0071] Figure 6 A structural diagram of a user equipment according to an embodiment of the present invention;

[0072] Figure 7 A structural diagram of a user equipment according to another embodiment of the present invention. DETAILED DESCRIPTION

[0073] In order to make the technical problems, technical solutions and advantages to be solved by the present invention more clear, a detailed description will be given below with reference to the accompanying drawings and specific embodiments.

[0074] It should be understood that the references to "one embodiment" or "an embodiment" throughout the specification mean that the specific features, structures, or characteristics associated with the embodiment are included in at least one embodiment of the present invention. Therefore, the references to "in one embodiment" or "in an embodiment" appearing throughout the specification do not necessarily refer to the same embodiment. In addition, these specific features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.

[0075] In various embodiments of the present invention, it should be understood that the size of the serial numbers of the following processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0076] Additionally, the terms "system" and "network" are often used interchangeably herein.

[0077] In the embodiments provided in the present application, it should be understood that "B corresponding to A" means that B is associated with A, and B can be determined according to A. However, it should also be understood that determining B according to A does not mean determining B only according to A, and B can also be determined according to A and / or other information.

[0078] Related technology introduction:

[0079] ISAC is one of the promising technologies in the 6th Generation Mobile Networks (6G) system. Unlike traditional communication systems, ISAC integrates communication and environmental perception capabilities into the same system, so that base stations or terminals can perceive the surrounding environment while performing communications. By sharing software and hardware resources and information resources, the ISAC system can not only reduce hardware costs, but also effectively improve spectrum utilization efficiency, realize ubiquitous perception in multiple fields, and support high-end technologies such as digital twins, promoting the development of intelligence and automation, especially in complex environments. It can show great advantages.

[0080] Among them, in the field of intelligent transportation, the application prospects of ISAC technology are particularly broad, especially when it is applied to V2X, it can effectively solve the spectrum congestion problem existing in traditional vehicle networking systems. As the core of future intelligent transportation, V2X technology aims to achieve all-round interconnection between vehicles and other vehicles, pedestrians, transportation infrastructure and the cloud. This interconnection can make up for the shortcomings of single-vehicle intelligence, significantly improve traffic safety and efficiency, and reduce the occurrence of traffic accidents. The combination of ISAC technology and the Internet of Vehicles can significantly improve system performance through collaborative gain, especially under non-line-of-sight conditions, the ISAC system provides more powerful support for V2X communication. Through multi-dimensional data fusion and global perception, ISAC technology not only provides more accurate positioning and perception capabilities for the Internet of Vehicles, but also improves the efficiency of information interaction between vehicles. It is an important development direction of future intelligent transportation systems.

[0081] In the field of smart transportation, high-precision map construction is one of the important applications of ISAC technology. Through the new generation of wireless communication technology, base stations or terminals can achieve environmental perception in a low-cost and low-overhead manner, integrate a large amount of environmental information, and support super-resolution imaging, perspective and night vision functions. Combined with the high viewing angle and multi-station collaboration of the base station, ISAC technology makes up for the perception blind spots of vehicle-mounted sensors in harsh environments or occluded blind spots, realizes macro road matching, vehicle self-positioning and global environmental perception, thereby providing beyond-line-of-sight assistance for autonomous driving.

[0082] In autonomous driving systems, building surfaces play an important role as deterministic environmental scatterers. Buildings have stable static characteristics, large-area distribution, and diverse materials (such as concrete, glass, and metal), which can produce specular reflection, diffuse reflection, and multipath propagation effects on wireless signals. These characteristics provide rich information for environmental perception systems. Especially in non-line-of-sight scenarios, building surfaces can effectively compensate for signal occlusion, expand the perception range, and help vehicles better understand complex environments and identify dynamic changes. In addition, the geometric features of building surfaces (such as planes, curved surfaces, or irregular edges) help sensors capture and extract key feature points, thereby forming the geometric basis of environmental maps. These characteristics make building surfaces a reliable static reference in autonomous driving systems, especially in densely populated urban areas or when the Global Positioning System (GPS) signal is blocked, and can provide vehicles with accurate location information.

[0083] At present, the positioning technology in the Internet of Vehicles mainly relies on methods such as Time of Arrival (TOA), Time Difference of Arrival (TDOA) and Angle-of-Arrival (AOA). These technologies determine the target position by obtaining the propagation time, time difference or arrival angle of the signal. Under NLOS conditions, these methods can provide higher positioning accuracy, but under NLOS conditions, due to the influence of multipath effects, the signal propagation path becomes complicated, resulting in a significant decrease in positioning accuracy. Therefore, the application of existing positioning technology in the Internet of Vehicles is greatly limited, especially in urban environments or complex scenes.

[0084] As a medium for information dissemination, wireless channels are the basis of communication system design. They provide theoretical basis and technical support for communication system prototype design and system and link-level simulation. Their characteristics determine the performance of wireless communication and even perception systems. Accurately understanding the ISAC wireless channel of the Internet of Vehicles is the primary issue in the research of communication system design. At present, statistical channel models, such as GBSM, as a mainstream channel model, have been widely adopted by international standardization organizations such as the International Telecommunication Union (ITU) and the 3rd Generation Partnership Project (3GPP). Compared with deterministic channel models, GBSM has lower complexity and unified evaluation standards, and can provide effective support for ISAC channel modeling in the Internet of Vehicles. However, the existing wireless channel models do not fully consider the impact of deterministic environmental scatterers, which limits their support for the research and evaluation of positioning algorithms in the ISAC technology of the Internet of Vehicles.

[0085] like Figure 1 As shown, a communication perception integrated channel modeling method based on environmental scatterers according to an embodiment of the present invention includes:

[0086] Step 101, obtain first information and a scatterer influence factor corresponding to a target communication scenario, wherein the scatterer influence factor is used to measure the influence of a reflection path of an environmental scatterer EO on a target channel corresponding to the target communication scenario, and the first information includes first position information of the EO in the target communication scenario.

[0087] It should be noted that the scatterer influence factor corresponding to the target communication scenario can be set according to the actual situation of the target communication scenario.

[0088] Step 102: Generate at least one parameter of the target channel according to the scatterer influence factor and the first position information.

[0089] It should be noted that, since the position of the EO in the target communication scenario is closely related to the characteristics of the target channel, the scatterer influence factor and the position of the EO (first position information) can be used to model the channel characteristics in step 102 to generate the parameters of the target channel.

[0090] Step 103: Determine a channel coefficient of the target channel according to at least one parameter of the target channel.

[0091] It should be noted that, through the above steps, the influence of large scatterers in the environment (that is, the target communication scenario) on the channel is introduced, which can more accurately characterize the characteristics of the synaesthesia channel in the Internet of Vehicles, especially in complex environments, and can provide a more solid channel theoretical foundation for the research of perception and positioning algorithms.

[0092] In this embodiment, a scatterer influence factor is introduced to characterize the effect of the environmental scatterer EO reflection path on the target channel, so that the parameters of the target channel that can more truly reflect the channel characteristics can be determined, and then based on these parameters, more accurate channel coefficients of the target channel can be obtained, thereby achieving accurate modeling of the target channel.

[0093] In some embodiments, the first information further includes: second location information of the base station and third location information of the terminal, and the parameters include: EO reflection path delay, EO reflection path angle, and EO reflection path power; step 102, generating at least one parameter of the target channel according to the scatterer influence factor and the first location information, includes:

[0094] According to the first location information, the second location information and the second location information, the geometric relationship between the EO, the base station and the terminal is determined; according to the geometric relationship, the EO reflection path delay and the EO reflection path angle are generated.

[0095] It should be noted that EO will change the propagation path of wireless signals and scatter and reflect the signals. Therefore, the position of EO will affect the signal propagation path, and then affect the characteristics of the channel. In the embodiment of the present invention, the geometric relationship between EO, base station and terminal can be determined according to their respective position information, so as to generate relevant parameters of the target channel based on the geometric relationship, so as to more accurately determine the channel coefficient of the target channel and realize accurate modeling of the target channel.

[0096] Specifically, Figure 2 As shown, according to the geometric relationship between the EO, the base station (ie, the receiver (Receiver, Rx), that is, the receiving end) and the terminal (ie, the transmitter (Transmitter, Tx), that is, the transmitting end), the EO reflection path delay and the EO reflection path angle can be calculated.

[0097] Among them, the EO reflection path delay can be determined according to the following formula:

[0098]

[0099] Among them, τ EO Indicates the EO reflection path delay; d EO represents the distance of EO reflection path propagation; c represents the speed of light; h represents the speed of light; tx Indicates the height of the starting point; h rx Indicates the height of the receiving end; d tx Indicates the 2D distance from the origin to the EO surface; d rx Indicates the 2D distance from the receiving end to the EO surface; d 2D Indicates the horizontal straight line distance between the sending end and the receiving end.

[0100] EO reflection path angles include: Zenith angle of arrival (ZOA), Azimuth angle of arrival (AOA), Zenith angle of departure (ZOD) and Azimuth angle of departure (AOD). These EO reflection path angles can be determined according to the following formulas:

[0101]

[0102] Among them, θ EO,ZOA Indicates the ZOA of the EO reflection path at the Rx and Tx ends; d EO Indicates the distance of EO reflection path propagation; h tx Indicates the height of the starting point; h rx Indicates the height of the end.

[0103]

[0104] Among them, θ EO,AOA Indicates the AOA of the EO reflection path at the Rx and Tx ends; d tx Indicates the 2D distance from the origin to the EO surface; d rx Indicates the 2D distance from the receiving end to the EO surface.

[0105] θ EO,ZOA =180°-θ EO,ZOD

[0106] Among them, φ EO,ZOA Indicates the ZOD of the EO reflection path at the Rx and Tx ends; θ EO,ZOA Indicates the ZOA of the EO reflection path at the Rx and Tx ends.

[0107]

[0108] Among them, φ EO,AOA Indicates the AOD of the EO reflection path at the Rx and Tx ends; d tx Indicates the 2D distance from the origin to the EO surface; d rx Indicates the 2D distance from the receiving end to the EO surface.

[0109] Step 1023: Generate the EO reflection path power according to the geometric relationship and the scatterer influence factor.

[0110] In some optional embodiments, the above step 1023, generating the EO reflection path power according to the geometric relationship and the scatterer influence factor, may specifically include:

[0111] (i) generating a path loss corresponding to the target channel according to the geometric relationship.

[0112] (ii) determining, according to the path loss, a non-line-of-sight link NLOS path power corresponding to the target channel.

[0113] (iii) The product of the scatterer influence factor and the NLOS path power is determined as the EO reflection path power.

[0114] Radiation influence factor (K EO ) can be expressed as:

[0115]

[0116] Among them, K EO represents the scatterer influence factor; P EO Represents the EO reflection path power in the target channel; P NLOS Indicates the total NLOS path power in the target channel (ie, the total NLOS power).

[0117] It should be noted that the scatterer influence factor (K EO ) can quantify the impact of EO reflection path on the perceived channel under NLOS propagation conditions.

[0118] In the embodiment of the present invention, the scatterer influence factor (K EO ) describes the proportion of EO reflection path power in the total NLOS power. Since the EO reflection path is part of the NLOS path, K EO The value range is between [0,1], that is, K EO ∈[0,1).

[0119] In some embodiments, step 103, determining a channel coefficient of the target channel according to at least one parameter of the target channel, includes:

[0120] Step 1031: Generate the NLOS cluster delay and the NLOS cluster angle corresponding to the target channel according to the second position information and the second location information.

[0121] Step 1032: Determine a first channel coefficient corresponding to the NLOS path in the target communication scenario according to the NLOS cluster delay and the angle of the NLOS cluster.

[0122] It should be noted that the existing ground reflection model only describes the impact of ground reflection multipath in line of sight (LOS) links, resulting in inaccurate modeling of the channel model. Based on actual measurements, the present invention finds that in the interaceptive channel of the Internet of Vehicles scenario, there is a strong first-order reflection power under NLOS conditions. Therefore, the embodiment of the present invention adds an expression for the ground reflection multipath of the target channel in NLOS, i.e., the first channel coefficient, for the NLOS environment in the ISAC scenario of the Internet of Vehicles.

[0123] Here, the first channel coefficient can be expressed as:

[0124]

[0125] The number of NLOS clusters is n=1,2,...N. represents the complex gain of the resolvable multipath in the nth cluster from the transmitting antenna s to the receiving antenna u, τ n represents the delay of the nth NLOS cluster, and δ(t) is the Dirac function.

[0126] Step 1033: Determine a second channel coefficient corresponding to the EO reflection path in the target communication scenario according to the EO reflection path delay, the EO reflection path angle, and the EO reflection path power.

[0127] Here, the second channel coefficient can be expressed as:

[0128]

[0129] Among them, the number of EO reflection paths is k = 1, 2, ... K, represents the complex gain of the resolvable multipath in the kth cluster from the transmitting antenna s to the receiving antenna u, τ EO,k represents the kth EO reflection path delay, and δ(t) is the Dirac function.

[0130] Step 1034: Perform a weighted sum operation on the first channel coefficient and the second channel coefficient according to the scatterer influence factor to obtain the channel coefficient of the target channel.

[0131] It should be noted that, compared with the traditional 3D GBSM channel modeling method, the present invention introduces K EO The factor characterizes the power proportion of the EO reflection path in the NLOS multipath, and truly reflects the channel characteristics in different urban environments. In this way, the communication perception integrated channel modeling method based on environmental scatterers in the embodiment of the present invention can not only effectively support the simulation and evaluation of the ISAC channel, but also be well compatible with the existing channel modeling standards.

[0132] It should also be noted that compared with the traditional ground reflection model, the embodiment of the present invention characterizes the influence of the EO reflection path without changing the total power of the NLOS cluster by modeling the scatterer influence factor, thereby improving the model's ability to characterize the first-order reflection high-power NLOS path, making the modeling of the target channel more accurate.

[0133] In a specific example, the channel coefficient of the target channel under NLOS conditions can be expressed as:

[0134]

[0135] in, represents the channel coefficient of the target channel; K EO Represents the scatterer influence factor.

[0136] It can be expressed as follows:

[0137]

[0138] Among them, F rx,u,θ represents the radiation pattern of the Rx end antenna in the θ direction; F rx,u,φ Represents the radiation pattern of the Rx end antenna in the φ direction; It represents the reflection coefficient of EO reflection path in parallel polarization; Indicates the reflection coefficient of the EO reflection path in vertical polarization; F tx,u,θ Indicates the radiation pattern of the Tx end antenna in the θ direction; F tx,u,φ Represents the radiation pattern of the Tx end antenna in the φ direction; d EO Indicates the distance of EO reflection path propagation; λ0 indicates the wavelength of the carrier; is the position vector of the antenna at the Rx end; is the position vector of the Tx end antenna; (·) T Represents matrix transpose; Represents the unit spherical coordinate vector of the EO reflection path at the Rx end (that is, the receiving end); They respectively represent the unit spherical coordinate vectors of the EO reflection path at the Tx end (that is, the transmitting end).

[0139] In the above embodiment, the expression of the channel coefficient of the EO reflection path under NLOS conditions is given (ie The channel coefficient can reflect the impact of the target channel on the signal, and can be used to represent the multipath propagation channel model containing EO reflection of the target channel to accurately model the impact of EO in the target channel.

[0140] like Figure 3 As shown, in a specific embodiment of the present invention, the specific process of using the above-mentioned communication perception integrated channel modeling method based on environmental scatterers to perform channel modeling containing EO reflection path is as follows:

[0141] S1: Set the first information corresponding to the target communication scenario, such as setting the scenario, network layout, antenna parameters, and EO location.

[0142] Specifically, the scenario type of the target communication scenario can be set to Urban Micro (UMi), the number of base stations and users (i.e., terminals) can be set to 1, the operating frequency band can be set to 26 GHz, the bandwidth can be set to 600 MHz, etc., and both the base station and the user can use a single antenna. Set an EO, which is located 10 m away from the transceiver (i.e., the base station and the terminal).

[0143] S2: Configure LOS and NLOS propagation conditions.

[0144] S3: Calculate the path loss.

[0145] S4: Generate large-scale parameters of the channel (such as the target channel), such as delay spread (DS), angle spread (AS), shadow fading (SF), K R Factor (K-factor) and other parameters.

[0146] S5: Configuring K EO factor.

[0147] S6: NLOS cluster delay of the generated channel (τ n ); Based on the geometric relationship, generate the EO reflection path delay (τ EO ).

[0148] S7: Generate NLOS cluster power (P NLOS ); According to K EO factor, generating the EO reflection path power (P EO ).

[0149] S8: Generate the angle of the NLOS cluster; generate the EO reflection path angle (such as θ EO,ZOA ,θ EO,AOA ,φEO,ZOA ,φ EO,AOA ).

[0150] S9: According to the angle and offset of the cluster, randomly generate the angle of each multipath, randomly match the multipath angles, and add the EO reflection path part.

[0151] S10: Generate a cross-polarization ratio coefficient of each multipath according to a random variable generation method of a log-normal distribution.

[0152] S11: Configure a random initial phase for each multipath.

[0153] S12: Generate channel coefficients.

[0154] S13: Couple path loss to generate final channel coefficients.

[0155] The communication-aware integrated channel modeling method based on environmental scatterers in the embodiment of the present invention can characterize the distribution of multipath power within a cluster, reflect the sparsity of the channel, and reflect the impact of the EO reflection path on the channel.

[0156] Through channel simulation experiments, it is found that different K EO The factors have different effects on channel delay spread. Figure 4 As shown, the horizontal axis is the delay spread DS, and the vertical axis is the cumulative distribution function of DS. EO The larger it is, the greater the proportion of EO reflection path energy in NLOS multipath, the smaller the delay spread of the channel, the more concentrated the energy, and the more strong first-order reflection path can be used for perception and positioning.

[0157] The communication-aware integrated channel modeling method based on environmental scatterers of this embodiment addresses the deficiencies of existing channel models in modeling deterministic environmental scatterers in ISAC scenarios, especially in Internet of Vehicles scenarios, and additionally considers the impact of deterministic environmental scatterers (EO) in the channel. The method is particularly suitable for NLOS environments in ISAC scenarios and can more accurately simulate complex reflections and multipath propagation to achieve accurate modeling of the target channel.

[0158] like Figure 5 As shown, a communication perception integrated channel modeling device based on environmental scatterers according to an embodiment of the present invention includes:

[0159] The first acquisition module 510 is used to acquire first information corresponding to the target communication scenario and a scatterer influence factor, wherein the scatterer influence factor is used to measure the influence of the reflection path of the environmental scatterer EO on the target channel corresponding to the target communication scenario, and the first information includes: first position information of the EO in the target communication scenario;

[0160] A first generating module 520, configured to generate at least one parameter of the target channel according to the scatterer influence factor and the first position information;

[0161] The first processing module 530 is configured to determine a channel coefficient of the target channel according to at least one parameter of the target channel.

[0162] In this embodiment, a scatterer influence factor is introduced to characterize the effect of the environmental scatterer EO reflection path on the target channel, so that the parameters of the target channel that can more truly reflect the channel characteristics can be determined, and then based on these parameters, more accurate channel coefficients of the target channel can be obtained, thereby achieving accurate modeling of the target channel.

[0163] Optionally, the first information further includes: second location information of the base station and third location information of the terminal, and the parameters include: EO reflection path delay, EO reflection path angle and EO reflection path power;

[0164] The first generating module 520 includes:

[0165] a first processing unit, configured to determine a geometric relationship between the EO, the base station, and the terminal according to the first location information, the second location information, and the second location information;

[0166] A first generating unit, configured to generate the EO reflection path time delay and the EO reflection path angle according to the geometric relationship;

[0167] The second generating unit is used to generate the EO reflection path power according to the geometric relationship and the scatterer influence factor.

[0168] Optionally, the second generating unit includes:

[0169] A first generating subunit, configured to generate a path loss corresponding to the target channel according to the geometric relationship;

[0170] A first processing subunit, configured to determine a non-line-of-sight link NLOS path power corresponding to the target channel according to the path loss;

[0171] The second processing subunit is used to determine the product of the scatterer influence factor and the NLOS path power as the EO reflection path power.

[0172] Optionally, the first processing module 530 includes:

[0173] A third generating unit, configured to generate an NLOS cluster delay and an NLOS cluster angle corresponding to the target channel according to the second position information and the second position information;

[0174] A second processing unit, configured to determine a first channel coefficient corresponding to the NLOS path in the target communication scenario according to the NLOS cluster delay and the angle of the NLOS cluster;

[0175] A third processing unit, configured to determine a second channel coefficient corresponding to the EO reflection path in the target communication scenario according to the EO reflection path delay, the EO reflection path angle, and the EO reflection path power;

[0176] The fourth processing unit is used to perform a weighted sum operation on the first channel coefficient and the second channel coefficient according to the scatterer influence factor to obtain the channel coefficient of the target channel.

[0177] It should be noted here that the above-mentioned communication perception integrated channel modeling device based on environmental scatterers provided in an embodiment of the present invention can implement all the method steps implemented in the above-mentioned communication perception integrated channel modeling method based on environmental scatterers embodiment, and can achieve the same technical effect. The parts and beneficial effects of this embodiment that are the same as those of the method embodiment will not be described in detail here.

[0178] like Figure 6 As shown, a processing device 600 according to an embodiment of the present invention includes a processor 610 and a transceiver 620, wherein the processor 610 is configured to:

[0179] Acquire first information and a scatterer influence factor corresponding to a target communication scenario, wherein the scatterer influence factor is used to measure the influence of a reflection path of an environmental scatterer EO on a target channel corresponding to the target communication scenario, wherein the first information includes first position information of the EO in the target communication scenario;

[0180] Generate at least one parameter of the target channel according to the scatterer influence factor and the first position information;

[0181] A channel coefficient of the target channel is determined according to at least one parameter of the target channel.

[0182] In this embodiment, a scatterer influence factor is introduced to characterize the effect of the environmental scatterer EO reflection path on the target channel, so that the parameters of the target channel that can more truly reflect the channel characteristics can be determined, and then based on these parameters, more accurate channel coefficients of the target channel can be obtained, thereby achieving accurate modeling of the target channel.

[0183] Optionally, the first information further includes: second location information of the base station and third location information of the terminal, and the parameters include: EO reflection path delay, EO reflection path angle and EO reflection path power;

[0184] When the processor 610 generates at least one parameter of the target channel according to the scatterer influence factor and the first position information, it is specifically configured to:

[0185] Determine a geometric relationship between the EO, the base station and the terminal according to the first location information, the second location information and the second location information;

[0186] According to the geometric relationship, generating the EO reflection path time delay and the EO reflection path angle;

[0187] The EO reflection path power is generated according to the geometric relationship and the scatterer influence factor.

[0188] Optionally, when the processor 610 generates the EO reflection path power according to the geometric relationship and the scatterer influence factor, it is specifically configured to:

[0189] Generating a path loss corresponding to the target channel according to the geometric relationship;

[0190] Determining, according to the path loss, a non-line-of-sight link NLOS path power corresponding to the target channel;

[0191] The product of the scatterer influence factor and the NLOS path power is determined as the EO reflection path power.

[0192] Optionally, when determining the channel coefficient of the target channel according to at least one parameter of the target channel, the processor 610 is specifically configured to:

[0193] Generate an NLOS cluster delay and an NLOS cluster angle corresponding to the target channel according to the second location information and the second position information;

[0194] Determining a first channel coefficient corresponding to the NLOS path in the target communication scenario according to the NLOS cluster delay and the angle of the NLOS cluster;

[0195] Determine a second channel coefficient corresponding to the EO reflection path in the target communication scenario according to the EO reflection path delay, the EO reflection path angle, and the EO reflection path power;

[0196] According to the scatterer influence factor, a weighted sum operation is performed on the first channel coefficient and the second channel coefficient to obtain the channel coefficient of the target channel.

[0197] It should be noted here that the above-mentioned processing device provided in the embodiment of the present invention can implement all the method steps implemented in the above-mentioned communication perception integrated channel modeling method embodiment based on environmental scatterers, and can achieve the same technical effect. The parts and beneficial effects of this embodiment that are the same as the method embodiment will not be described in detail here.

[0198] A processing device according to another embodiment of the present invention, such as Figure 7 As shown, it includes a transceiver 710, a processor 700, a memory 720, and a program or instruction stored in the memory 720 and executable on the processor 700; when the processor 700 executes the program or instruction, the above-mentioned communication perception integrated channel modeling method based on environmental scatterers is implemented.

[0199] The transceiver 710 is used to receive and send data under the control of the processor 700.

[0200] Among them, Figure 7 In the embodiment, the bus architecture may include any number of interconnected buses and bridges, specifically linking together various circuits of one or more processors represented by processor 700 and memory represented by memory 720. The bus architecture may also link together various other circuits such as peripherals, voltage regulators, and power management circuits, which are well known in the art and are therefore not further described herein. The bus interface provides an interface. The transceiver 710 may be a plurality of components, namely, a transmitter and a receiver, providing a unit for communicating with various other devices on a transmission medium. For different processing devices, the user interface 730 may also be an interface capable of externally and internally connecting required devices, and the connected devices include but are not limited to a keypad, a display, a speaker, a microphone, a joystick, and the like.

[0201] The processor 700 is responsible for managing the bus architecture and general processing, and the memory 720 can store data used by the processor 700 when performing operations.

[0202] The present application also provides a computer program product, including computer instructions, which, when executed by a processor, implement the above Figure 1 The various processes of the method embodiment shown can achieve the same technical effect, and will not be described again here to avoid repetition.

[0203] A computer-readable storage medium according to an embodiment of the present invention stores a program or instruction thereon, and when the program or instruction is executed by a processor, the steps in the communication perception integrated channel modeling method based on environmental scatterers as described above are implemented, and the same technical effect can be achieved. To avoid repetition, it is not repeated here. The computer-readable storage medium is, for example, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0204] It should be further explained that the terminals described in this specification include but are not limited to smart phones, tablet computers, etc., and many of the functional components described are called modules in order to more particularly emphasize the independence of their implementation methods.

[0205] In the embodiment of the present invention, module can be implemented with software so that it can be executed by various types of processors. For example, an executable code module of an identification can include one or more physical or logical blocks of computer instructions, for example, it can be constructed as an object, process or function. Nevertheless, the executable code of the identified module does not need to be physically located together, but can include different instructions stored in different positions, and when these instructions are logically combined together, it constitutes a module and realizes the specified purpose of the module.

[0206] In fact, executable code module can be a single instruction or many instructions, and can even be distributed on a plurality of different code segments, distributed among different programs, and distributed across a plurality of memory devices. Similarly, operating data can be identified in the module, and can be implemented and organized in the data structure of any appropriate type according to any appropriate form. The operating data can be collected as a single data set, or can be distributed in different locations (including on different storage devices), and can only be present on a system or network as an electronic signal at least in part.

[0207] When a module can be implemented by software, considering the level of existing hardware technology, a person skilled in the art can build a corresponding hardware circuit to implement the corresponding function of the module that can be implemented by software without considering the cost. The hardware circuit includes a conventional very large scale integration (VLSI) circuit or gate array and existing semiconductors such as logic chips, transistors, or other discrete components. The module can also be implemented by a programmable hardware device, such as a field programmable gate array, a programmable array logic, a programmable logic device, etc.

[0208] The above exemplary embodiments are described with reference to the accompanying drawings, and many different forms and embodiments are feasible without departing from the spirit and teachings of the present invention. Therefore, the present invention should not be constructed as a limitation of the exemplary embodiments proposed herein. More specifically, these exemplary embodiments are provided so that the present invention will be perfect and complete, and the scope of the present invention will be conveyed to those who are familiar with the technology. In these figures, the component sizes and relative sizes may be exaggerated for clarity. The terms used here are only based on the purpose of describing specific exemplary embodiments and are not intended to be limiting. As used herein, unless the text clearly indicates otherwise, the singular forms "one", "an" and "the" are intended to include these multiple forms. It will be further understood that the terms "including" and / or "comprising" when used in this specification indicate the presence of the features, integers, steps, operations, components and / or components, but do not exclude the presence or increase of one or more other features, integers, steps, operations, components, components and / or their groups. Unless otherwise indicated, when stated, a range of values ​​includes the upper and lower limits of that range and any subranges therebetween.

[0209] The above is a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A communication perception integrated channel modeling method based on environmental scatterers, characterized in that: include: Acquire first information and a scatterer influence factor corresponding to a target communication scenario, wherein the scatterer influence factor is used to measure the influence of a reflection path of an environmental scatterer EO on a target channel corresponding to the target communication scenario, wherein the first information includes first position information of the EO in the target communication scenario; Generate at least one parameter of the target channel according to the scatterer influence factor and the first position information; A channel coefficient of the target channel is determined according to at least one parameter of the target channel.

2. The method according to claim 1, characterized in that The first information also includes: second location information of the base station and third location information of the terminal, and the parameters include: EO reflection path delay, EO reflection path angle and EO reflection path power; The generating at least one parameter of the target channel according to the scatterer influence factor and the first position information includes: Determine a geometric relationship between the EO, the base station and the terminal according to the first location information, the second location information and the second location information; According to the geometric relationship, generating the EO reflection path time delay and the EO reflection path angle; The EO reflection path power is generated according to the geometric relationship and the scatterer influence factor.

3. The method according to claim 2, characterized in that The step of generating the EO reflection path power according to the geometric relationship and the scatterer influence factor comprises: Generating a path loss corresponding to the target channel according to the geometric relationship; Determine, according to the path loss, a non-line-of-sight link NLOS path power corresponding to the target channel; The product of the scatterer influence factor and the NLOS path power is determined as the EO reflection path power.

4. The method according to claim 2, characterized in that: Determining a channel coefficient of the target channel according to at least one parameter of the target channel includes: Generate an NLOS cluster delay and an NLOS cluster angle corresponding to the target channel according to the second position information and the second location information; Determining a first channel coefficient corresponding to the NLOS path in the target communication scenario according to the NLOS cluster delay and the angle of the NLOS cluster; Determine a second channel coefficient corresponding to the EO reflection path in the target communication scenario according to the EO reflection path delay, the EO reflection path angle, and the EO reflection path power; According to the scatterer influence factor, a weighted sum operation is performed on the first channel coefficient and the second channel coefficient to obtain the channel coefficient of the target channel.

5. A communication perception integrated channel modeling device based on environmental scatterers, characterized in that: include: A first acquisition module is used to acquire first information corresponding to a target communication scenario and a scatterer influence factor, wherein the scatterer influence factor is used to measure the influence of a reflection path of an environmental scatterer EO on a target channel corresponding to the target communication scenario, and the first information includes first position information of the EO in the target communication scenario; A first generating module, configured to generate at least one parameter of the target channel according to the scatterer influence factor and the first position information; The first processing module is used to determine a channel coefficient of the target channel according to at least one parameter of the target channel.

6. A processing device, characterized in that: include: A transceiver and a processor; the processor is used to: Acquire first information and a scatterer influence factor corresponding to a target communication scenario, wherein the scatterer influence factor is used to measure the influence of a reflection path of an environmental scatterer EO on a target channel corresponding to the target communication scenario, wherein the first information includes first position information of the EO in the target communication scenario; Generate at least one parameter of the target channel according to the scatterer influence factor and the first position information; A channel coefficient of the target channel is determined according to at least one parameter of the target channel.

7. A processing device comprising: A transceiver, a processor, a memory, and a program or instruction stored in the memory and executable on the processor; characterized in that when the processor executes the program or instruction, the communication perception integrated channel modeling method based on environmental scatterers as described in any one of claims 1 to 4 is implemented.

8. A computer program product, characterized in that The method comprises computer instructions, which, when executed by a processor, implement the steps of the communication-aware integrated channel modeling method based on environmental scatterers as described in any one of claims 1 to 4.

9. A readable storage medium having a program or instruction stored thereon, characterized in that: When the program or instruction is executed by the processor, the steps in the communication perception integrated channel modeling method based on environmental scatterers as described in any one of claims 1 to 4 are implemented.

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