Outdoor non-line-of-sight propagation single-station positioning method based on scattering region model

Abstract

The invention relates to an outdoor non-line-of-sight propagation single-station positioning method based on a scattering region model, and belongs to the technical field of communication. The method comprises the following steps: S1, acquiring multipath signal parameters which are scattered to a base station through a scatterer under an outdoor non-line-of-sight propagation condition, and constructing pseudo-scatterer distribution; s2, measuring the distribution density of the pseudo scatterers by using a Gaussian kernel function to determine and filter interference scatterers, and clustering the pseudo scatterers after filtering the interference scatterers by using a K-means clustering algorithm to obtain a clustering center containing positioning information; s3, combining a space geometric structure between a scatterer and a target in the scattering region model, and using the clustering center in the S2 to construct a positioning target function; and S4, aiming at the positioning target function provided in the S3, improving SSA-GA based on a genetic algorithm to solve a target position. The method is suitable for single base station positioning in an outdoor non-line-of-sight propagation environment, and can be used for accurately positioning a target.

Description

technical field [0001] The invention belongs to the technical field of communication, and relates to an outdoor non-line-of-sight propagation single-station positioning method based on a scattering area model. Background technique [0002] With the increasing demand for applications such as autonomous driving, synchronous imaging, and complex cooperation between robots, 6G will provide perception, communication, and computing capabilities as a distributed network in the future to realize the interconnection of all things. Tong】''Sense integration will play a vital role in the convergence of the physical and cyber worlds. As one of the basic technologies of synaesthesia integration, wireless positioning has received more and more attention. Satellite-based positioning systems have low positioning accuracy in complex ground environments such as mountains, deep forests, and cities, and cannot meet the needs of modern applications. In traditional ranging-based wireless positio...

AI Technical Summary

Problems solved by technology

However, in the previous positioning methods, it was assumed that the non-line-of-sight deviation of each multipath parameter is the same. In the actual scene, due to the different distribution of propagation paths and scatterers, the non-line-of-sight deviation of each multipath is different. When assuming that all multipath parameters When the non-line-of-sight deviation is the same, it will seriously affect the positioning accuracy

In addition, most positioning methods use multiple base stations or anchor points for positioning, which consumes more power and increases deployment costs

Using multi-station positioning requires high-precision time synchronization between base stations compared to single-station, which increases the requirements for hardware quality and deployment

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