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未知接收機(jī)通道特性下的信號(hào)空間特征估計(jì)算法

王激揚(yáng),  黃佑勇,  陳天麒

王激揚(yáng), 黃佑勇, 陳天麒. 未知接收機(jī)通道特性下的信號(hào)空間特征估計(jì)算法[J]. 電子與信息學(xué)報(bào), 2001, 23(8): 751-757.
引用本文: 王激揚(yáng), 黃佑勇, 陳天麒. 未知接收機(jī)通道特性下的信號(hào)空間特征估計(jì)算法[J]. 電子與信息學(xué)報(bào), 2001, 23(8): 751-757.
Wang Jiyang, Huang Youyong, Chen Tiariqi. AN ALGORITHM FOR ESTIMATING SPATIAL SIGNATURE OF SIGNALS WITH GAINS AND PHASES OF SENSORS UNKNOWN[J]. Journal of Electronics & Information Technology, 2001, 23(8): 751-757.
Citation: Wang Jiyang, Huang Youyong, Chen Tiariqi. AN ALGORITHM FOR ESTIMATING SPATIAL SIGNATURE OF SIGNALS WITH GAINS AND PHASES OF SENSORS UNKNOWN[J]. Journal of Electronics & Information Technology, 2001, 23(8): 751-757.

未知接收機(jī)通道特性下的信號(hào)空間特征估計(jì)算法

AN ALGORITHM FOR ESTIMATING SPATIAL SIGNATURE OF SIGNALS WITH GAINS AND PHASES OF SENSORS UNKNOWN

  • 摘要: 該文用均勻線(xiàn)陣研究了未知接收機(jī)通道特性下信號(hào)空間特征(=2sin/)的估計(jì)問(wèn)題。利用均勻線(xiàn)陣的冗余結(jié)構(gòu),本文給出了基于信號(hào)子空間的ESPRIT-Like算法,得到了一個(gè)信號(hào)空間特征和通道特性的近似解。ESPRIT-Like算法對(duì)信號(hào)空間特征估計(jì)具有較好的穩(wěn)健性;與B.Friedlander,V.C.Soon等人(1994)提出的其它迭代算法相比,ESPRIT-Like,算法具有計(jì)算量小的優(yōu)點(diǎn)。數(shù)值仿真結(jié)果證實(shí)了本文算法的有效性并評(píng)價(jià)了算法的性能。
    Abstract: This paper discusses the problem of estimating the spatial signature of signals under the gains and phases of sensors unknown with a uniform linear array (ULA). It is utilized the redundant structure of the ULA and subspace-based ESPRIT-like algorithm is introduced to obtain, a closed form solution for the spatial signature of signals, and the gains and phases of sensors is presented. The major advantage of the proposed ESPRIT-like algorithm is its low computational burden compared with the other iterative methods and its robustness Compared with ESPRIT algorithm. Numerical simulation is presented to test the validity and the performance of this algorithm.
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  • B. Friedlander, A. J. Weiss, Effects of model errors on waveform estimation using the MUSIC algorithm, IEEE Trans. on SP, 1994, 42(1), 147-155.[2]A. Swindlehurst, T. Kailath, Performance analysis of subspace-based methods in the presence ofmodel errors, Part II, Multidimensional algorithms, IEEE Trans. on SP, 1993, 41(9), 882-2890.[3]M Wax, Y. Anu, Performance analysis of the minimum variance beamformer in the presence ofsteering vector errors, IEEE Trans. on SP, 1996, 44(4), 938-947.[4]J. Yang, A. Swindlehurst, The effects of array calibration errors on DF-based signal copy perfor-mance, IEEE Trans. on SP, 1995, 43(11), 2724-2732.[5]B. Friedlander, A. J. Weiss, Eigenstructure methods for direction finding with sensor gain andphase uncertainties. In Proc. ICASSP, 1988, 2681-2684.[6]M. Virberg, A. Swindlehurst, A Bayesian approach to anto-calibration in parametric array signalprocessing, IEEE Trans. on SP, 1994, 42(12), 3495-3507.[7]A.J. Weiss, B. Friedlander, Almost blind steering vector estimation using second-ordermoment, IEEE Trans. on SP, 1996, 44(4), 2724-2732.[8]V.C. Soon, L. Tong, Y. F. Huang, R. Liu, A subspace method for estimating sensor gains andphases, IEEE Trans. on SP, 1994, 42(4), 973-976.[9]D.R. Fuhrmann, Estimation of sensor gain and phase. IEEE Trans. on SP, 1994, 42(1), 77-87.[10]J. Gunther, A. Swindlehurst, Algoritthn for blind equalization with tnultiple antennas based onfrequency domain subspaces, In Proc. ICASSP, 1996, 2419-2422.[11]R. Roy, T. Kailath, ESPRIT-estimation of signal parameters via rotational invariance techniques,IEEE Trans. on ASSP, 1989, 37(7), 984-995.
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  • 文章訪(fǎng)問(wèn)數(shù):  2211
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出版歷程
  • 收稿日期:  1999-07-22
  • 修回日期:  1999-11-09
  • 刊出日期:  2001-08-19

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