一种减小NLOS影响的TDOA／AOA数据融合定位算法

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Effective TDOA／AOA data fusion location algorithm for mitigating the influence of the NLOS propagation

MAO Yong-yi1;LI Ming-yuan2;ZHANG Bao-jun1

(1. Dept. of Electronic and Information, Xi’an Univ. of Post and Telecommunications, Xi’an 710061， China;
2. School of Electronics and Information Engineering, Xi’an Jiaotong Univ., Xi’an 710049， China)

Received:2007-09-13 Revised:1900-01-01 Online:2008-10-20 Published:2008-09-12
Contact: MAO Yong-yi E-mail:maoyongyi@263.net

Abstract

Abstract: A time difference of arrival／angle of arrival (TDOA／AOA) data fusion location algorithm is proposed. The RBF neural network is made use of to correct the measurement of TDOA to mitigate the effect of the non-line-of-sight (NLOS) propagation, then the position of MS is calculated by the TDOA location algorithm and AOA location algorithm, and finally the position of MS is determined by the weighted average of TDOA and AOA location results. Simulation results indicate that this algorithm can significantly improve the location accuracy and reliability under suburban, urban and bad urban environments.

Key words: non-line-of-sight, time difference of arrival, angle of arrival, data fusion

CLC Number:

TN929.53

MAO Yong-yi1;LI Ming-yuan2;ZHANG Bao-jun1. Effective TDOA／AOA data fusion location algorithm for mitigating the influence of the NLOS propagation
[J].J4, 2008, 35(5): 942-945.

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Effective TDOA／AOA data fusion location algorithm for mitigating the influence of the NLOS propagation

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