Low-traffic high-precision positioning method and system based on beam space

Abstract

Embodiments of the invention disclose a low-traffic high-precision positioning method and a low-traffic high-precision positioning system based on a beam space, capable of realizing high-precision andlow-latency user positioning. The method comprises: S1: a local base station receives a transmit signal of a user to be located to obtain a high-dimensional array signal, constructs a beam space according to the high-dimensional array signal, generates a low-dimensional beam space signal by converting the high-dimensional array signal into a beam space, and transmits the low-dimensional beam space signal to a central base station; and S2, the central base station receives the low-dimensional beam space signal transmitted by the local base station, recovers the low-dimensional beam space signal into a high-dimensional array signal, and locates the user to be located by using a direct location algorithm and the high-dimensional array signal.

Description

technical field [0001] Embodiments of the present invention relate to the field of array positioning networks, and in particular to a beam space-based low-traffic high-precision positioning method and system. Background technique [0002] High-precision user location information plays a vital role in people's daily production and life and in the field of national defense and military affairs. At present, most of the positioning networks based on wireless base stations adopt a two-step positioning algorithm. The basic framework is as follows: each base station independently receives signals from target users, and after locally estimating position-related parameters such as angle of arrival or time of arrival, transmits the results to The central base station, the central base station realizes the location of the user by using the geometric relationship. [0003] However, according to Shannon's information processing theorem, the intermediate processing of the signal will lea...

AI Technical Summary

Problems solved by technology

Under the development trend of increasing antenna array scale, the dimension of the array signal received by the base station is increasing rapidly, and the communication burden of multi-base station information fusion is greatly increased. The amount of data communication that can be afforded by the system within unit response time is limited, which makes the existing communication system unable to meet the low-latency transmission requirements of high-dimensional signals

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