基于似然比检验的超宽带信道检测与定位算法

孙希延; 刘健; 纪元法; 廖桂生; 范广伟

doi:10.11999/JEIT160484

基于似然比检验的超宽带信道检测与定位算法

doi: 10.11999/JEIT160484

基金项目:

国家自然科学基金(61362005, 61561016)，广西自然科学基金(2013GXNSFA019004, 2014GXNSFAA118352)

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- 被引次数: 0
出版历程
- 收稿日期: 2016-05-12
- 修回日期: 2016-10-17
- 刊出日期: 2017-03-19

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

摘要: 超宽带(Ultra Wide Band, UWB)室内定位系统的定位性能主要受信号非视距(None Line Of Sight, NLOS)传播影响。为此该文提出一种基于信道统计量(Channel Statistics Information, CSI)的信道NLOS状态检测法。该方法首先在IEEE802.15.4a信道模型下对均方根时延扩展和平均超量延迟的概率分布函数进行建模，作为信道标准分布。再以信道瞬时分布与标准分布间的KL散度为检验统计量做似然比检验(Likelihood Ratio Test, LRT)来鉴别信道状态。同时提出一种基于LRT的定位算法 LRT-Chan算法。该算法能有效利用受NLOS污染的测距数据提高定位精度。仿真结果表明：LRT信道状态检测法在全部UWB信道中都能获得较高检测准确率；在定位锚点(Anchor Node, AN)分布不理想的NLOS环境中LRT-Chan算法也能取得较高定位精度。
- 似然比检验 /
- NLOS信道鉴别 /
- LRT-Chan算法 /
- KL散度
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.
- Likelihood ratio test /
- NLOS channel identification /
- LRT-Chan algorithm /
- KL divergence

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参考文献(23)

FAN Xinyue, LU Wei, and ZHOU Fei. The received signal characteristics-based TOA estimation in UWB dense multipath channels[J]. Lecture Notes in Electrical Engineering, 2014, 246: 423-431. doi: 10.1007/978-3-319- 00536-2_49.

GARCIA E, POUDEREUX P, HERNANDEZ A, et al. A robust UWB indoor positioning system for highly complex environments[C]. IEEE International Conference on Industrial Technology, Sevilla, Spain, 2015: 3368-3391. doi: 10.1109/ICIT.2015.7125601.

HE J, GENG Y, LIU F, et al. CC-KF: Enhanced TOA performance in multipath and NLOS indoor extreme environment[J]. IEEE Sensors Journal, 2014, 14(11): 3766-3774. doi: 10.1109/JSEN.2014.2328353.

DECARLI N, DARDARI D, GEZICI S, et al. LOS/NLOS detection for UWB signals: A comparative study using experimental data[C]. 2010 5th IEEE International Symposium on Wireless Pervasive Computing (ISWPC), Modena, Italy, 2010: 169-173. doi: 10.1109/ISWPC.2010. 5483704.

VENKATESH S and BUEHRER R M. Non-line-of-sight identification in ultra-wideband systems based on received signal statistics[J]. IET Microwaves Antennas Propagation, 2007, 1(6): 1120-1130. doi: 10.1049/iet-map: 20060273.

MARANO S, GIFFORD W M, WYMEERSCH H, et al. NLOS identification and mitigation for localization based on UWB experimental data[J]. IEEE Journal on Selected Areas in Communications, 2010, 28(7): 1026-1035. doi: 10.1109/ JSAC.2010.100907.

YOU Bo, LI Xueen, ZHAO Xudong, et al. A novel robust algorithm attenuating non-line-of-sight errors in indoor localization[C]. 2015 IEEE International Conference on Communication Software and Networks (ICCSN), Chengdu, China, 2015: 6-11. doi: 10.1109/ICCSN.2015.7296117.

VAGHEFI R M and BUEHRER R M. Cooperative localization in NLOS environments using semidefinite programming[J]. IEEE Communications Letters, 2015, 19(8): 1382-1385. doi: 10.1109/LCOMM.2015.2442580.

BUEHRER R M, DAVIS W A, SAFAAI-JAZI A, et al. Ultra wideband propagation measurements and modeling DARPA NETEX final report[R]. Final Report, DARPA-NETEX Program, Virginia Tech, 2004.

SAVIC V, LARSSON E G, FERRER-COLL J, et al. Kernel methods for accurate UWB-based ranging with reduced complexity[J]. IEEE Transactions on Wireless Communications, 2015, 15(3): 1783-1793. doi: 10.1109/ TWC.2015. 2496584.

HUA J, MENG L, ZHOU K, et al. Accurate and simple wireless localizations based on time product of arrival in the DDM-NLOS propagation environment[J]. IEEE Journal of Selected Topics in Signal Processing, 2015, 9(2): 239-246. doi: 10.1109/JSTSP.2014.2372693.

GHASSEMZADEH S S, GREENSTEIN L J, SVEINSSON T, et al. UWB delay profile models for residential and commercial indoor environments[J]. IEEE Transactions on Vehicular Technology, 2005, 54(4): 1235-1244. doi: 10.1109/ TVT.2005.851379.

GHASSEMZADEH S S, JANA R, RICE C W, et al. Measurement and modeling of an ultra-wide bandwidth indoor channel[J]. IEEE Transactions on Communications, 2004, 52(10): 1786-1796. doi: 10.1109/TCOMM.2003.820755.

MOLISCH A F, CASSIOLI D, CHONG C C, et al. A comprehensive standardized model for ultra-wideband propagation channels[J]. IEEE Transactions on Antennas Propagation, 2006, 54(11): 3151-3166. doi: 10.1109/TAP. 2006.883983.

张浩, 梁晓林, 吕婷婷, 等. 一种新颖的基于偏度的非视距区分算法[J]. 电讯技术, 2015(5): 484-490.

ZHANG Hao，LIANG Xiaolin, L Tingting, et al. A novel non-line-of-sight identification algorithm basedon skewness[J]. Telecommunication Engineering, 2015, 55(5): 484-490.

GUVENC I, CHONG C C, and WATANABE F. NLOS identification and mitigation for UWB localization systems[C]. 2007 IEEE Wireless Communications and Networking Conference, Hong Kong, China, 2007: 1571-1576. doi: 10.1109/WCNC.2007.296.

刘攀. 时域数值算法在无线信道分析中的应用[D]. [硕士论文],南京邮电大学, 2012.

LIU Pan. Application of time-domain numerical algorithm for the wireless channel analysis[D]. [Master dissertation], Nanjing University of Posts and Telecommunications, 2012.

CHAN Y T and HO K C. A simple and efficient estimator for hyperbolic location[J]. IEEE Transactions on Signal Processing, 1994, 42(8): 1905-1915. doi: 10.1109/78.301830.

DENIS B, PIERROT J B, and ABOU-RJEILY C. Joint distributed synchronization and positioning in UWB Ad hoc networks using TOA[J]. IEEE Transactions on Microwave Theory Techniques, 2006, 54(4): 1896-1911. doi: 10.1109 /TMTT.2006.872082.

邓平, 刘林, 范平志. 一种基于TDOA重构的蜂窝网定位服务NLOS误差消除方法(英文)[J]. 电波科学学报, 2003, 18(3): 311-316. doi: 10.13443/j.cjors.2003.03.016.

DENG Ping, LIU Lin, and FAN Pingzhi. An NLOS error mitigation scheme based on TDOA reconstruction for cellular location services[J]. Chinese Journal of Radio Science, 2003, 18(3): 311-316. doi: 10.13443/j.cjors.2003.03.016.

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