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IR-UWB测距中NLOS状态的鉴别

吴绍华 张钦宇 张乃通

吴绍华, 张钦宇, 张乃通. IR-UWB测距中NLOS状态的鉴别[J]. 电子与信息学报, 2008, 30(11): 2541-2546. doi: 10.3724/SP.J.1146.2007.01812
引用本文: 吴绍华, 张钦宇, 张乃通. IR-UWB测距中NLOS状态的鉴别[J]. 电子与信息学报, 2008, 30(11): 2541-2546. doi: 10.3724/SP.J.1146.2007.01812
Wu Shao-Hua, Zhang Qin-Yu, Zhang Nai-Tong. NLOS Identification for IR-UWB Ranging Systems[J]. Journal of Electronics & Information Technology, 2008, 30(11): 2541-2546. doi: 10.3724/SP.J.1146.2007.01812
Citation: Wu Shao-Hua, Zhang Qin-Yu, Zhang Nai-Tong. NLOS Identification for IR-UWB Ranging Systems[J]. Journal of Electronics & Information Technology, 2008, 30(11): 2541-2546. doi: 10.3724/SP.J.1146.2007.01812

IR-UWB测距中NLOS状态的鉴别

doi: 10.3724/SP.J.1146.2007.01812
基金项目: 

国家自然科学基金重点项目(60432040)资助课题

NLOS Identification for IR-UWB Ranging Systems

  • 摘要: NLOS效应是IR-UWB测距定位系统中影响精度的主要因素之一。该文提出不依赖于信道估计,直接从接收信号采样序列中提取特征参量进行NLOS鉴别的方法,构造了采样序列的首均比与峰均比乘积作为鉴别参量,并与使用峭度和平均附加时延这两个参量的鉴别性能进行了对比。仿真结果表明:相干测距所对应的鉴别性能要好于非相干测距,原因是更为精确的DP检测结果及高采样速率使得参量提取值更能准确地反映信道状态信息;使用峭度和平均附加时延作为鉴别参量所能获得鉴别性能均不理想,而使用采样序列的首均比与峰均比乘积能使鉴别成功率提高10%左右。在定位模块中融入该文所获得的NLOS的鉴别结果将有助于定位精度的进一步提升。
  • [1] Oppermann I, Stoica L, and Rabbachin A, et al.. UWBwireless sensor networks: UWENA practical example.IEEE Communications Magazine, 2004, 42(12): 27-32. [2] Wu S H, Ma Y K, and Zhang Q Y, et al.. NLOS errormitigation for UWB ranging in dense multipathenvironments. IEEE'WCNC, Hongkong, China, 2007:1565-1570. [3] Wylie M P and Holtzman J. The non-line of sight problem inmobile location estimation. IEEE'ICUPC, Boston, MA, USA,1996, 2: 827-831. [4] Borras J, Hatrack P, and Mandayam N B. Decision theoreticframework for NLOS identification. IEEE'VTC, Ottawa,Canada, 1998, 2: 1583-1587. [5] Schroeder J, Galler S, and Kyamakya K, et al.. NLOSdetection algorithms for Ultra-Wideband localization. 4thWPNC, Hannover, Germany, 2007: 159-166. [6] Oppermann I.[J].Matti H, and Iinatti J. UWB Theory andApplications. Chichester: John Wiley Sons.2004,:- [7] Jazzar S A and Caffery J. New algorithms for NLOSidentification. IST Summit Conference, Dresden, Germany,2003: 19-23. [8] Mucchi L and Marcocci P. A new parameter for channelidentification in UWB indoor environments. 16th ICCCN,Honolulu, Hawaii, USA, 2007: 419-423. Guvenc I, Chong C C, and atanabe F. NLOS identificationand mitigation for UWB localization Systems. IEEE'WCNC,Hongkong, China, 2007: 1571-1576. [9] Lee J Y and Scholtz R A. Ranging in a dense multipathenvironment using an UWB radio link[J].IEEE Journal onelected Areas in Communications.2002, 20(9):1677-1683 [10] Chung W C and Ha D S. An accurate ultra wideband (UWB)ranging for precision asset location. IEEE'UWBST, Reston,Virginia, USA, 2003: 389-393. [11] Low Z N, Cheong J H, and Law C L, et al.. Pulse detectionalgorithm for line-of-sight (LOS) UWB ranging applications[J].IEEE Antennas and Wireless Propagation Letters.2005, 4(1):63-67 [12] Lee J Y and Yoo S. Large error performance of UWB rangingin multipath and multiuser environments[J].IEEE Trans. onMicrowave Theory and Techniques.2006, 54(4):1887-1895 [13] Guvenc I and Sahinoglu Z. Threshold-based TOA estimationfor impulse radio UWB systems. IEEE'ICUWB, ETH Zurich,Switzerland, 2005: 420-425. [14] Guvenc I and Sahinoglu Z. Multiscale energy products forTOA estimation in IR-UWB systems. IEEE'GLOBECOM, St.Louis, USA, 2005, 1: 209-213. [15] Stoica L, Rabbachin A, and Oppermann I. A low-complexitynoncoherent IR-UWB transceiver architecture with TOAestimation[J].IEEE Trans. on Microwave Theory andTechniques.2006, 54(4):1637-1646 [16] Guvenc I and Sahinoglu Z. Threshold selection for UWBTOA estimation based on kurtosis analysis. IEEECommunications Letters, 2005, 9(12): 1025-1027. [17] 吴绍华, 张钦宇, 张乃通. 一种新颖的基于门限比较的脉冲超宽带TOA 估计算法. 通信学报. 已录用. [18] Wu S H, Zhang Q Y, and Fan R F, et al.. Match-filteringbased TOA estimation for IR-UWB Ranging Systems. IEEE/IWCMC'2008, Crete, Greece, to appear. [19] Rappaport T S. Wireless Communications: Principles andPractice. Indianapolis, IN: Prentice Hall, 2002, Chapter 5.
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出版历程
  • 收稿日期:  2007-11-26
  • 修回日期:  2008-06-26
  • 刊出日期:  2008-11-19

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