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基于似然比檢驗的超寬帶信道檢測與定位算法

孫希延,  劉健,  紀元法,  廖桂生,  范廣偉

孫希延, 劉健, 紀元法, 廖桂生, 范廣偉. 基于似然比檢驗的超寬帶信道檢測與定位算法[J]. 電子與信息學(xué)報, 2017, 39(3): 590-597. doi: 10.11999/JEIT160484
引用本文: 孫希延, 劉健, 紀元法, 廖桂生, 范廣偉. 基于似然比檢驗的超寬帶信道檢測與定位算法[J]. 電子與信息學(xué)報, 2017, 39(3): 590-597. doi: 10.11999/JEIT160484
SUN Xiyan, LIU Jian, JI Yuanfa, LIAO Guisheng, FAN Guangwei. UWB Channel Detection and Location Algorithm Based on Likelihood Ratio Test[J]. Journal of Electronics & Information Technology, 2017, 39(3): 590-597. doi: 10.11999/JEIT160484
Citation: SUN Xiyan, LIU Jian, JI Yuanfa, LIAO Guisheng, FAN Guangwei. UWB Channel Detection and Location Algorithm Based on Likelihood Ratio Test[J]. Journal of Electronics & Information Technology, 2017, 39(3): 590-597. doi: 10.11999/JEIT160484

基于似然比檢驗的超寬帶信道檢測與定位算法

doi: 10.11999/JEIT160484
基金項目: 

國家自然科學(xué)基金(61362005, 61561016)，廣西自然科學(xué)基金(2013GXNSFA019004, 2014GXNSFAA118352)

UWB Channel Detection and Location Algorithm Based on Likelihood Ratio Test

Funds: 

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

  • 摘要: 超寬帶(Ultra Wide Band, UWB)室內(nèi)定位系統(tǒng)的定位性能主要受信號非視距(None Line Of Sight, NLOS)傳播影響。為此該文提出一種基于信道統(tǒng)計量(Channel Statistics Information, CSI)的信道NLOS狀態(tài)檢測法。該方法首先在IEEE802.15.4a信道模型下對均方根時延擴展和平均超量延遲的概率分布函數(shù)進行建模，作為信道標(biāo)準分布。再以信道瞬時分布與標(biāo)準分布間的KL散度為檢驗統(tǒng)計量做似然比檢驗(Likelihood Ratio Test, LRT)來鑒別信道狀態(tài)。同時提出一種基于LRT的定位算法 LRT-Chan算法。該算法能有效利用受NLOS污染的測距數(shù)據(jù)提高定位精度。仿真結(jié)果表明：LRT信道狀態(tài)檢測法在全部UWB信道中都能獲得較高檢測準確率；在定位錨點(Anchor Node, AN)分布不理想的NLOS環(huán)境中LRT-Chan算法也能取得較高定位精度。
    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.
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出版歷程
  • 收稿日期:  2016-05-12
  • 修回日期:  2016-10-17
  • 刊出日期:  2017-03-19

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