NLOS Ranging Error Compensation Algorithm Based on Fuzzy Association Channel Identification

doi:10.13190/j.jbupt.2019-084

Journal of Beijing University of Posts and Telecommunications ›› 2020, Vol. 43 ›› Issue (1): 21-27.doi: 10.13190/j.jbupt.2019-084

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NLOS Ranging Error Compensation Algorithm Based on Fuzzy Association Channel Identification

LI Xiao-hui^1,2, DU Yang-fan², SHI Xiao-zhu¹, YANG Xu²

1. State Key Laboratory of Air Traffic Management System and Technology, The 28th Research Institute of China Electronics Technology Group Corporation, Nanjing 210007, China;
2. State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an 710071, China

Received:2019-05-20 Online:2020-02-28 Published:2020-03-27
Supported by:

Abstract

Abstract: Aiming at the problem of ranging errors in non line of sight (NLOS) ranging, an NLOS ranging error compensation algorithm is proposed based on fuzzy association channel identification. The algorithm constructs fuzzy membership matrix of channel feature parameters based on the prior channel feature parameter distribution information, and uses gray correlation analysis method to calculate the normalized weight matrix, so that to obtain the fuzzy comprehensive evaluation matrix to identify the channel environment. On this basis, the Huber residual cost function is constructed according to the channel identification result, and the original ranging result is iteratively reconstructed by Huber linear regression method, which is filtered as the measured value of Kalman filter. Simulation show that the proposed algorithm can improve the ranging accuracy under NLOS effectively, and the range accuracy of this algorithm can reach centimeter level when signal-to-noise ratio is -2 dB.

Key words: non line of sight, channel identification, fuzzy comprehensive evaluation, Huber linear regression

CLC Number:

TN929.53

LI Xiao-hui, DU Yang-fan, SHI Xiao-zhu, YANG Xu. NLOS Ranging Error Compensation Algorithm Based on Fuzzy Association Channel Identification[J]. Journal of Beijing University of Posts and Telecommunications, 2020, 43(1): 21-27.

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NLOS Ranging Error Compensation Algorithm Based on Fuzzy Association Channel Identification

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