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NLOS (non-line of sight) transmission base station identification and positioning method based on side length residual error

A positioning method and base station technology, applied in the direction of electrical components, wireless communication, etc., can solve the problems that affect and aggravate the accuracy of traditional positioning algorithms

Active Publication Date: 2016-09-28
ZHEJIANG UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

According to the field measurement of GSM network by Motorola and Ericsson, it is found that the NLOS error tends to increase with the increase of the straight-line distance between the mobile station (MS, mobile station) and the base station or base station (BS, base station), which is more Exacerbated the impact on the accuracy of traditional positioning algorithms

Method used

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  • NLOS (non-line of sight) transmission base station identification and positioning method based on side length residual error
  • NLOS (non-line of sight) transmission base station identification and positioning method based on side length residual error
  • NLOS (non-line of sight) transmission base station identification and positioning method based on side length residual error

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Embodiment Construction

[0067] The present invention will be further described below in conjunction with the drawings. The comparison algorithm used in the simulation diagram is shown in Table 1:

[0068] algorithm

description

NI-TS-WLS

Method of the invention

RWGH

Residual weighting method

CLS

Constrained least squares method

NI-LS

The base station of the present invention uses the least square method after identification

The ideal NI-TS-WLS

Known LOS base station uses two-step WLS method

[0069] Table 1

[0070] In Table 1, the RWGH method comes from Literature 1: Chen PC, A non-line-of-sight errormitigation algorithm in location estimation[A], Proc.IEEE Wireless Communications and Networking Conference WCNC'99[C],New Orleans,1999: 316-320; namely Chen PC, a non-line-of-sight error elimination algorithm in position estimation [A], Proceedings of the 1999 IEEE International Conference on Wireless Communications and Networks [C], New Orleans, 1999:316-320. The CLS method comes from L...

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Abstract

The present invention provides an NLOS (non-line of sight) transmission base station identification and positioning method based on side length residual errors. The method comprises the following steps: firstly dividing base stations into groups, and ensuring that each group comprises two base stations, the group number is represented by a formula, and the base station number is N; then calculating the virtual side length by using collected TOA and AOA estimated values according to a cosine theorem, calculating the difference value between the virtual side length and a measuring distance, and calculating a threshold by taking the difference value as the side length residual error; and then identifying NLOS transmission base stations and LOS transmission base stations by comparing the residual errors and the threshold values, finally estimating the location of an MS by using parameter measurement values of the LOS transmission base stations, and ensuring that an estimation algorithm adopts a two-step weighted least square algorithm. According to the NLOS transmission base station identification and positioning method based on the side length residual error provided by the invention, the errors can be effectively reduced, and the positioning accuracy can be improved.

Description

Technical field [0001] The invention relates to the technical field of wireless positioning, in particular to a base station identification and positioning method in a NLOS transmission environment, which can detect the NLOS transmission base station and the LOS transmission base station, and use the LOS transmission base station to locate the MS. Background technique [0002] Wireless positioning refers to a technology that uses parameters such as angle and distance included in the received signal to estimate the position of a mobile terminal. In recent years, due to economic development and the needs of people’s lives, this technology has been widely used. It can provide services including emergency calls, travel information services, vehicle management, etc., and has also been applied to location-based charging In the system and intelligent transportation system, it is an important part of the Internet of Things. [0003] In the actual wireless transmission environment, due to ...

Claims

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Application Information

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IPC IPC(8): H04W64/00
Inventor 华惊宇周凯李枫徐志江孟利民
Owner ZHEJIANG UNIV OF TECH
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