无线信道多径时延估计的方法研究
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摘要
为提高多径条件下无线信道测量中的时延估计精度,结合匹配滤波、方位估计方法(MODE)以及基于加权傅里叶变换和松弛(WRELAX)算法,提出了一种具有额外根的方位估计与基于加权傅里叶变换和松弛法算法的融合(MODEX-WRELAX)算法,并给出了相应的算法推导。新算法既可以分辨多径时延,又能很好地抑制噪声以及强干扰。对新算法进行仿真实验,仿真结果表明,新算法提供了比MODE、WRELAX以及MODE-WRELAX算法更高的精度和分辨率,且新算法可以接近相应的克拉美罗界限(CRB)。
In order to improve the accuracy of time delay estimation in wireless channel measurements under multipath conditions,a combination of matched filtering,Method of Direction Estimation(MODE),and Weighted Fourier transform and RELAXation based(WRELAX)are studied.This paper proposes a MODE with extra Roots,which is based on WRELAX(MODEX-WRELAX)algorithm.The corresponding algorithm derivation is also presented in this paper.The new algorithm can not only resolve multipath delay but also suppress noise and strong interference well.Simulation results show that this method provides higher accuracy and resolution than MODE,WRELAX,and MODE-WRELAX algorithms.It also shows that the MODEX-WRELAX algorithm can approach the corresponding Cramer-Rao Bound(CRB).
In order to improve the accuracy of time delay estimation in wireless channel measurements under multipath conditions,a combination of matched filtering,Method of Direction Estimation(MODE),and Weighted Fourier transform and RELAXation based(WRELAX)are studied.This paper proposes a MODE with extra Roots,which is based on WRELAX(MODEX-WRELAX)algorithm.The corresponding algorithm derivation is also presented in this paper.The new algorithm can not only resolve multipath delay but also suppress noise and strong interference well.Simulation results show that this method provides higher accuracy and resolution than MODE,WRELAX,and MODE-WRELAX algorithms.It also shows that the MODEX-WRELAX algorithm can approach the corresponding Cramer-Rao Bound(CRB).
引文
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[2] Shi L,Zhao L,Qiao Z,et al.A New Statistical WRELAX Algorithm Under Nakagami Multipath Channel based on Delay Power Spectrum Characteristic[J].Wireless Personal Communications,2015,82(3):1483-1495.
[3] Li X,Yan S,Ma X C.Diagonal Loading Least Squares Time Delay Estimation[J].Chinese Journal of Acoustics,2012,36(2):165-177.
[4]张峻铭.无线信道多径时延估计及信道建模[D].成都:电子科技大学,2013.
[5]Wu R,Li J,Liu Z S.Super Resolution Time Delay Estimation via MODE-WRELAX[J].IEEE Transactions on Aerospace and Electronic Systems,1999,35(1):294-307.
[6]侯朋,许文海,王俊生,等.声纳斜入射水深实时监测中最短路径时延估计[J].仪器仪表学报,2009,30(8):1634-1639.
[7] Stoica P,Sharman K C.Novel Eigenanalysis Method for Direction Estimation[J].IEEE Proceedings F-Radar and Signal Processing,1990,137(1):19-26.
[8]陈韶华,相敬林,罗建.水声信道多径时延估计的高分辨率方法研究[J].系统仿真学报,2005,17(11):2821-2824.
[9] Lopes A,Bonatti I S,Peres P L D,et al.Improving the MODEX Algorithm for Direction Estimation[J].Signal Processing,2003,83(9):2047-2051.
[10]Gershman A B,Stoica P.New MODE-based Techniques for Direction Finding with an Improved Threshold Performance[J].Signal Processing,1999,76(3):221-235.
[11]Wu R,Li J.Time Delay Estimation via Optimizing Highly Oscillatory Cost Functions[J].IEEE Journal of Oceanic Engineering,1998,23(3):235-244.