Dual-base-station accurate orientation method based on neural network

Abstract

The invention belongs to the wireless positioning field, which relates to a dual-basic station accurate positioning method based on the neural network. The method comprises the following steps: firstly, evaluating scattering body information around a mobile terminal according to the positioning data measured by the basic station, then utilizing the neural network to remove the fuzzification of the scattering body error information, and finally, using scattering body positioning information which restrains the non line of sight error as a virtual basic station to realize the accurate position. The provided dual-basic station accurate positioning method based on the neural network can effectively restrain the non line of sight transmission error, and has the advantages of stable performance, low cost and high positioning accuracy.

Description

technical field [0001] The invention relates to a wireless positioning method in wireless communication, and in particular provides a neural network-based precise positioning method for dual base stations. Background technique [0002] Wireless positioning technology has been widely used in military and civilian technology. With the rapid increase of data services and multimedia services, people's demand for new services based on wireless positioning technology is increasing, especially in complex communication environments, such as airport halls, exhibition halls, warehouses, supermarkets, libraries, underground parking lots In environments such as mines and mines, it is often necessary to determine the location information of mobile terminals or their holders, facilities and objects indoors, which promotes the in-depth research on wireless positioning technology. At the same time, providing users with accurate positioning information has become one of the standard service...

AI Technical Summary

Problems solved by technology

However, in complex radio wave propagation environments such as urban areas, due to many obstacles and harsh radio wave propagation environments, it is difficult for the signal to reach the mobile station directly from the base station. Generally, multipath signals are generated after refraction or reflection, not line-of-sight. The receiving device, the TOA measurement of the signal also has a large error, so the positioning accuracy will be greatly affected

[0004] When using a cellular communication network to wirelessly locate a mobile terminal, NLOS (Non Line Of Sight, non-line-of-sight propagation), measurement errors and other factors will seriously affect the positioning performance

Existing methods are easily affected by various interferences, and more than 3 base stations are required to achieve positioning, and the positioning error is relatively large in a multipath NLOS environment, and the positioning accuracy is not high

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