存在窄带干扰时IR-UWB系统中基于接收信号特性的TOA估计
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摘要
近年来,无线室内定位技术越来越受到人们的关注。其中,脉冲超宽带(IR-UWB)技术由于发射功率低、抗多径干扰能力强、穿透力强等特点,非常适合应用于室内定位。传统能量检测算法在存在窄带干扰时性能恶化十分严重,通过对接收信号的特性进行分析,提出了一种新的TOA估计算法。设定不同的阈值对接收信号的每一帧进行查询,通过对检测结果集统计分析后得到信号的到达时间。仿真结果表明,存在窄带干扰时,该TOA估计算法比其他基于能量检测的TOA估计算法具有更高的估计精度。
This paper proposes a new TOA estimation algorithm by analyzing the characteristics of the received signal.Set different thresholds to search each frame of the received signal and the time-of-arrival(TOA) is obtained by statistical analysis of detection result sets.The simulation results show that the proposed TOA estimation algorithm has higher estimation accuracy than other methods based on energy detection with the presence of narrowband interference.
This paper proposes a new TOA estimation algorithm by analyzing the characteristics of the received signal.Set different thresholds to search each frame of the received signal and the time-of-arrival(TOA) is obtained by statistical analysis of detection result sets.The simulation results show that the proposed TOA estimation algorithm has higher estimation accuracy than other methods based on energy detection with the presence of narrowband interference.
引文
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[7]Guvenc I, Sahinoglu Z.Threshold selection for UWB TOA estimation based on kurtosis analysis[J].IEEE Communication Letters., 2005, 9(12):1025-1027
[8]Shi W,Annavajjala R,Orlik P V,et al.Non-coherent ToA estimation for UWB multipath channels using max-eigenvalue detection[C]∥IEEE International Conference on Communications(ICC), IEEE, 2012:4509-4514
[9]Liu W Y, Ding H, Huang X T,et al.TOA estimation in IR UWB ranging with energy detection receiver using received signal characteristics[J].IEEE Communication Letters,2012,16(5):738-741
[10]Ding H, Liu W,Huang X,et al.First path detection using rank test in IR UWB ranging with energy detection receiver under harsh environments[J].IEEE Communication Letters,2013, 17(4):761-764
[11]Cai H, Lv T, Gao H,et al.An optimized first pathdetector for UWB ranging using error characteristics[C]∥IEEE WirelessCommunications and Networking Conference(WCNC),IEEE,2014:1230-1235
[12]Li J,Cui X Y, Song H B,et al.Threshold selection method for UWB TOA estimation based on wavelet decomposition and kurtosis analysis[J].EURASIP Journal on Wireless Communications and Networking,2017(1):202
[13]Molisch A F,et al.,IEEE 802.15.4a channel modelfinal report[R/OL].http://www.ieee802.org/15/pub/TG4a.html
[14]I Guvenc,Z Sahinoglu,A F Molisch,et al.Non-coherent TOA estimation in IR-UWB systems with different signal waveforms[C]∥International Conference on Broadband Networks,2005:1168-1174
[2]Gezici S, Tian Z, Giannakis G B, Kobayashi H, Molisch A F,Poor H V, Sahinoglu Z. Localization via ultra-wideband radios:a look at positioning aspects for future sensor networks[J].IEEE Signal Processing Magazine, 2005, 22(4):70-84
[3]Falsi C, Dardari D, Mucchi L, Win M Z. Time of arrival estimation for UWB localizers in realistic environments[J].EURASIP Journal on Advances in Siganl Processing,2006(1):032082
[4]Stoica L, Rabbachin A, Oppermann I. A low-complexity noncoherent IR-UWBtransceiver architecture with TOA estimation[J].IEEE Transactions on Microwave Theory and Techniques,2006, 54(4):1637-1646
[5]Dardari D, Chong C C, Win M Z.Analysis of threshold-based TOA estimatorin UWB channels[C]∥European Siganl Procssing Conference, IEEE, 2006
[6]Guvenc I,Sahinoglu Z.Threshold-based TOA estimation for impulse radio UWB systems[C]∥IEEE International Conference on Ultra-Wideband, IEEE, 2005:420-425
[7]Guvenc I, Sahinoglu Z.Threshold selection for UWB TOA estimation based on kurtosis analysis[J].IEEE Communication Letters., 2005, 9(12):1025-1027
[8]Shi W,Annavajjala R,Orlik P V,et al.Non-coherent ToA estimation for UWB multipath channels using max-eigenvalue detection[C]∥IEEE International Conference on Communications(ICC), IEEE, 2012:4509-4514
[9]Liu W Y, Ding H, Huang X T,et al.TOA estimation in IR UWB ranging with energy detection receiver using received signal characteristics[J].IEEE Communication Letters,2012,16(5):738-741
[10]Ding H, Liu W,Huang X,et al.First path detection using rank test in IR UWB ranging with energy detection receiver under harsh environments[J].IEEE Communication Letters,2013, 17(4):761-764
[11]Cai H, Lv T, Gao H,et al.An optimized first pathdetector for UWB ranging using error characteristics[C]∥IEEE WirelessCommunications and Networking Conference(WCNC),IEEE,2014:1230-1235
[12]Li J,Cui X Y, Song H B,et al.Threshold selection method for UWB TOA estimation based on wavelet decomposition and kurtosis analysis[J].EURASIP Journal on Wireless Communications and Networking,2017(1):202
[13]Molisch A F,et al.,IEEE 802.15.4a channel modelfinal report[R/OL].http://www.ieee802.org/15/pub/TG4a.html
[14]I Guvenc,Z Sahinoglu,A F Molisch,et al.Non-coherent TOA estimation in IR-UWB systems with different signal waveforms[C]∥International Conference on Broadband Networks,2005:1168-1174