CN-122027062-A - Scene sense integrated channel modeling method, medium and equipment for industrial Internet of things

CN122027062ACN 122027062 ACN122027062 ACN 122027062ACN-122027062-A

Abstract

The invention discloses an industrial Internet of things scene ventilation integrated channel modeling method, medium and equipment, wherein the method aims at a communication channel and a sensing channel, initializes the number of clusters and the number of rays in the clusters, constructs target multiple scattering points for the sensing channel, generates radar scattering cross section values of a target scattering body and an environment scattering body, determines visibility of each antenna array to the clusters, considers the dissimilarity of the communication channel and the sensing channel and the movement of different movable clusters in the industrial Internet of things scene, designs a two-stage cluster ventilation process, and respectively applies the ventilation and the extinction of different clusters to simulate the time and space non-stationary characteristics of the ventilation integrated channel. The method has important significance for standardization of the universal integrated channel model of the industrial Internet of things, and provides effective theoretical support for channel design.

Inventors

YANG LIHUA
SHAO YUPENG
YE AN
ZHANG HUI
QI LINA

Assignees

南京邮电大学

Dates

Publication Date: 20260512
Application Date: 20260409

Claims (10)

1. The scene sense integrated channel modeling method for the industrial Internet of things is characterized by comprising the following steps of: s1, setting an industrial Internet of things scene, wherein the scene content at least comprises model parameters, antenna array configuration and signal propagation conditions, and calculating propagation path loss under the current antenna array configuration; s2, generating channel large-scale parameters with spatial consistency based on the current industrial Internet of things scene, wherein the channel large-scale parameters at least comprise shadow fading, a Laes factor, time delay expansion and angle expansion; S3, initializing the number of clusters and the number of rays in the clusters according to the communication channel and the sensing channel, constructing target multi-scattering points for the sensing channel, generating radar scattering section values of a target scatterer and an environment scatterer, and simultaneously determining the visibility of each antenna array to the clusters; s4, generating an initialized initial cluster, related angles, time delays and power of rays, performing random coupling matching of the rays, and generating a cross polarization power ratio and channel small-scale parameters of an antenna array; S5, updating the positions of the three ends and the channel large-scale parameters according to the motion trail of the transmitting end, the receiving end and the sensing receiving end in the antenna array; S6, considering the dissimilarity of the communication channel and the sensing channel and the movement of different mobile clusters in the scene of the industrial Internet of things, designing a two-stage cluster-based on-and-off process, and respectively applying the on-and-off process of different clusters to simulate the time and space non-stationary characteristics of the on-sense integrated channel; S7, initializing a new cluster, distributing relevant channel coefficients of the new cluster, and simultaneously updating relevant angles, time delays and power of the surviving cluster, and generating total channel coefficients based on propagation path loss and shadow fading; and S8, returning to the S5 until the motion trail of the sending end, the receiving end and the sensing receiving end is traversed, and calculating and analyzing the statistical characteristics of the communication channel model and the sensing channel model in the scene of the industrial Internet of things.
2. The method for modeling an integrated channel for the sense of general industrial internet of things scene according to claim 1, wherein in S1, the industrial internet of things scene is an integrated dual-station sense scene for the sense of general industrial internet of things of M T ×M R ×M S under millimeter wave condition, M T 、M R and M S are the number of antennas of a transmitting end Tx, a receiving end Rx and a sense receiving end Sx, respectively, and the transmitting end Tx, the receiving end Rx and the sense receiving end Sx are all selected as a massive MIMO antenna array.
3. The method for modeling an integrated channel of scene ventilation of the industrial internet of things according to claim 1, wherein the two-stage cluster-based process in S6 is divided into two stages of a communication channel and a perception channel, and clusters in the communication channel and the perception channel are superposition of surviving cluster components and new cluster components.
4. The method for modeling an integrated channel for scene ventilation in the industrial internet of things according to claim 3, wherein when the communication channel is in use, the cluster generation and extinction process comprises: s6.a1, elapsed time interval Spaced from the antenna The survival probability of a cluster is then: Wherein, the For the survival probability of a cluster of communication channels, For the recombination rate of the clusters, And The unit antenna spacing of the transmitting end and the receiving end respectively, Is the percentage of moving clusters in the industrial internet of things scene, And For the average relative speeds of the transmitting and receiving ends and the scatterers in the cluster, And Scene correlation coefficients describing spatial correlation and temporal correlation, respectively; S6.a2, based on the process of birth-and-death, the new clusters are generated according to poisson distribution: Wherein, the For the purpose of mathematical expectations, For the number of newly generated scattering clusters, t is the current time, r is the current antenna situation, Is the generation rate of the cluster; When the channel is perceived, the cluster's process of extinction includes: s6.b1, elapsed time interval Spaced from the antenna The survival probability of a cluster is then: Wherein, the In order to perceive the survival probability of a cluster of channels, In order to sense the unit antenna spacing of the receiving end, To perceive the percentage of moving target clusters in the channel, To perceive the percentage of the mobile environment clusters in the channel, the following is satisfied , To perceive the average relative velocity of the receiving end and the scatterers in the ambient cluster, And Average relative speeds of a sending end, a sensing receiving end and a scatterer in a target cluster are respectively set; s6, b2, generating new clusters according to poisson distribution based on a new and new process: 。
5. the method for modeling an integrated channel of scene ventilation of industrial internet of things according to claim 3, wherein in S6, the influence of environmental characteristics of different clusters on the non-stationary characteristics of the channel is analyzed by using different speed weights in consideration of the motions of different mobile clusters.
6. The method for modeling an integrated channel for scene communication in the industrial internet of things according to claim 1, wherein in S7, the communication channel matrix in the scene of the industrial internet of things Perceptual channel matrix The method comprises the following steps of: Where PL and SH are both large-scale models, the former representing a propagation path loss model, the latter representing a shadow fading model, And The small-scale fading channel matrix is a communication channel and a sensing channel respectively, the dimension of the former matrix is M T ×M R , the dimension of the latter matrix is M T ×M S ,M T 、M R and M S are the antenna numbers of a transmitting end Tx, a receiving end Rx and a sensing receiving end Sx respectively.
7. The modeling method of scene-integrated channel of industrial internet of things according to claim 6, wherein the communication channel propagates to the receiving end Rx through the line-of-sight LOS path and the non-line-of-sight NLOS path from the signal transmitted by the transmitting end Tx, and the channel impulse response CIR of the communication channel model is determined by The expression is: Wherein, the For the channel impulse response of the communication channel model, For the line-of-sight LOS path component, For non-line-of-sight NLOS path components, t and τ represent the current time and time delay respectively, K is the Lese factor of the channel, N and M are the clusters and the total number of rays in the clusters respectively, and N and M are the clusters and the number indexes of rays in the clusters respectively; 、 representing the vertical and horizontal polarization of the transmit antenna respectively, 、 Representing the vertical and horizontal polarization of the receiving antenna respectively, 、 Representing the azimuth and elevation of the transmitting antenna respectively, 、 Representing the azimuth and elevation of the receiving antenna respectively, Indicating the distance between the transmitting and receiving ends, (·) T indicates the matrix transpose, 、 A unit spherical vector representing line-of-sight LOS components of the transmitting end Tx and the receiving end Rx respectively, 、 The position vectors of the q-th receiving antenna and the p-th transmitting antenna are respectively represented, Representing the doppler shift of the line of sight LOS component, Path delays respectively representing line-of-sight LOS components of the communication channel, j representing imaginary units, lambda 0 representing wavelengths, delta (·) representing dirac functions; representing the average power of the mth ray in the nth cluster, 、 Respectively represent the azimuth angle and elevation angle of the m-th ray in the nth cluster C n from the center of the transmitting antenna, 、、 And Respectively represent The range oral is taken from an initial phase that is uniformly distributed, Indicating the cross-polarization ratio, 、 Representing the arrival azimuth and elevation angle of the mth ray in the nth cluster C n and the center of the receiving antenna respectively, 、 A unit spherical vector of non-line-of-sight components of the transmitting end Tx and the receiving end Rx respectively, Representing the doppler shift of the non-line-of-sight NLOS component, Path delays representing non line-of-sight NLOS components of the communication channel; the sensing channel propagates the signal transmitted by the transmitting terminal Tx to the sensing receiving terminal Sx through the target Tar path and the environment Env path, and the channel impulse response CIR of the sensing channel model is formed by The expression is: Wherein, the To perceive the channel impulse response of the channel model, For the target Tar path component, N ', m' are the cluster in the perceived channel and the index of the number of rays in the cluster, respectively, for the environmental Env path component; K1 and K2 are rice factors of a path from a transmitting end to a target Tar and a path from a target to a sensing receiving end respectively, 、、 And Respectively representing the channel impulse responses of four sub-paths of LOS-Target-LOS, NLOS-Target-LOS, LOS-Target-NLOS and NLOS-Target-NLOS in the Target Tar path; Representing the power of the ambient Env path, 、 Respectively represent the azimuth angle and elevation angle of departure of the m 'ray from the center of the transmitting antenna in the n' th cluster C n' , 、 Respectively representing the arrival azimuth and elevation angle of the m 'ray in the n' th cluster C n' and the center of the sensing antenna, 、、 And Respectively, the initial phases are represented as such, Representing the cross-polarization ratio of the perceived channel, 、 The unit spherical vectors representing the non-line-of-sight NLOS components of the perceived receiving end Sx and transmitting end Tx respectively, Representing the position vector of the s-th sense antenna, Representing the doppler shift of the ambient Env path, Representing the delay component of the ambient Env path.
8. The method for modeling an integrated channel of scene ventilation of industrial internet of things according to claim 1, wherein in S8, the statistical characteristics of the communication channel model and the sensing channel model include cluster visibility of the communication channel receiving end and the sensing channel receiving end, power delay spectrums of the communication channel and the sensing channel, and time-frequency correlation functions of the communication channel and the sensing channel.
9. A computer readable storage medium, characterized in that a computer program is stored, which, when being executed by a processor, causes the processor to perform the steps of the industrial internet of things scene-generic integrated channel modeling method according to any of claims 1-8.
10. A computer device comprising a memory and a processor, the memory storing a computer program that, when executed by the processor, causes the processor to perform the steps of the industrial internet of things scene generic integrated channel modeling method of any of claims 1-8.

Description

Scene sense integrated channel modeling method, medium and equipment for industrial Internet of things Technical Field The invention relates to the technical field of wireless communication, in particular to an industrial Internet of things scene sense-of-general integrated channel modeling method, medium and equipment. Background Industrial internet of things (Industrial Internet of Things, IIoT) is one of the typical application scenarios of 6G wireless communication, which aims to reform the traditional industrial manufacturing flow and realize digital and intelligent industrial manufacturing. As an emerging technology, integrated sensing and Communication (ISAC) integrates sensing and Communication functions into a unified system architecture, so as to realize resource sharing, efficient spectrum utilization and real-time environment monitoring, improve the intelligent level of an industrial system, and realize more efficient spectrum management and multifunctional operation. In an industrial internet of things scenario, ISAC technology may be applied in device state monitoring, environmental awareness, and automation control. For example, the synchronous transmission of data and the detection of objects are realized through wireless signals, and the problems of resource waste and delay in the traditional independent system are reduced. Furthermore, channel modeling has a fundamental role in the wireless communication physical layer that simulates various effects in an actual transmission environment by building a mathematical model of signal propagation. Therefore, at present, channel modeling research is performed on an industrial internet of things scene or a general sense integrated model, for example, a Chinese invention patent with publication number of CN117040669A discloses a geometric random channel modeling method of an industrial internet of things communication channel, which divides an industrial internet of things channel impulse response into an SMC and a DMC, and models time delay, angle and power of the industrial internet of things channel impulse response respectively, or a Chinese invention with publication number of CN120454902A discloses a general sense integrated channel modeling method with spatial consistency, which explores a general sense integrated channel modeling method considering a proprietary cluster and a common cluster, and introduces transmission probability of the proprietary cluster and the common cluster in modeling, and in addition, a Chinese invention with publication number of CN120074714A discloses a novel geometric random channel model modeling method for a communication perception integrated system, which provides a comprehensive general sense integrated wireless channel modeling method, and verifies the model by using RT simulation. However, such existing methods only consider the industrial internet of things scene channel modeling or the sense-of-general integrated channel modeling alone, and do not relate to the industrial internet of things scene sense-of-general integrated double-station sense channel modeling. In addition, in order to simulate the temporal, spatially non-stationary nature of the ISAC channel, the speed disparity of the target cluster and the non-line-of-sight NLOS environment cluster and the effect of the IIoT scene moving clusters at different ratios are not considered when using the cluster-based extinction process. Disclosure of Invention The method, the medium and the equipment for modeling the industrial Internet of things scene sense-of-general integrated channel, which are provided by the invention, can provide more comprehensive and reliable theoretical support for channel design, and at least solve one of the technical problems. In order to solve the technical problems, the invention adopts the following technical scheme: an industrial Internet of things scene sense of general integrated channel modeling method comprises the following steps: s1, setting an industrial Internet of things scene, wherein the scene content at least comprises model parameters, antenna array configuration and signal propagation conditions, and calculating propagation path loss under the current antenna array configuration; s2, generating channel large-scale parameters with spatial consistency based on the current industrial Internet of things scene, wherein the channel large-scale parameters at least comprise shadow fading, a Laes factor, time delay expansion and angle expansion; S3, initializing the number of clusters and the number of rays in the clusters according to the communication channel and the sensing channel, constructing target multi-scattering points for the sensing channel, generating radar scattering section values of a target scatterer and an environment scatterer, and simultaneously determining the visibility of each antenna array to the clusters; s4, generating an initialized initial cluster, related angles, time delays and power of