基于似然比检验的超宽带信道检测与定位算法

doi:10.11999/JEIT160484

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Abstract

The performance of UWB indoor positioning system is mainly affected by NLOS errors. In this paper, a channel state detection method based on channel statistics is proposed. The probability distribution function of Root Mean Square Delay Spread (RMS) and Mean Excess Delay (MED) under IEEE802.15.4a standard is modeled as standard distribution. Channel state is identified by Likelihood Ratio Test (LRT) based on KL divergence between channel instantaneous distribution and standard distribution. A localization algorithm named LRT-Chan based on LRT is proposed to improve positioning accuracy by effectively utilizing data contaminated by NLOS. Simulation results show that, LRT detection can obtain high accuracy in all UWB channels; when Anchor Nodes (ANs) with NLOS errors are not in ideal distribution, LRT-Chan algorithm can gain higher positioning accuracy.

Key words： Likelihood ratio test NLOS channel identification LRT-Chan algorithm KL divergence

Received: 12 May 2016 Published: 02 December 2016

PACS:

TN92

Fund:

The National Natural Science Foundation of China (61362005,61561016), The Guangxi Natural Science Foundation Program (2013GXNSFA019004, 2014GXNSFAA118352)

Corresponding Authors: LIU Jian E-mail: sdjkjsdh@163.com

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	SUN Xiyan
	LIU Jian
	JI Yuanfa
	LIAO Guisheng
	FAN Guangwei

Cite this article:

SUN Xiyan,LIU Jian,JI Yuanfa等. UWB Channel Detection and Location Algorithm Based on Likelihood Ratio Test[J]. JEIT, 2017, 39(3): 590-597.

URL:

http://jeit.ie.ac.cn/EN/10.11999/JEIT160484 OR http://jeit.ie.ac.cn/EN/Y2017/V39/I3/590

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