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Volume 24 Issue 7
Jul.  2002
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Zhou Yunzhong, Chen Tianqi . Adaptive frequency and 2D DOA estimation tracking[J]. Journal of Electronics & Information Technology, 2002, 24(7): 879-886.
Citation: Zhou Yunzhong, Chen Tianqi . Adaptive frequency and 2D DOA estimation tracking[J]. Journal of Electronics & Information Technology, 2002, 24(7): 879-886.

Adaptive frequency and 2D DOA estimation tracking

  • Received Date: 2000-08-04
  • Rev Recd Date: 2000-12-21
  • Publish Date: 2002-07-19
  • The key problem of eigen-subspace methods is the estimation of signal or noise subspace. In practical situations, there exist signals whose statistic characteristics always change over time. To obtain the real-time estimates of signal parameters, it is necessary to update the signal/noise subspace according to newly received array sampled output. In this paper, 3D Unitary ESPRIT algorithm is proposed to achieve the combined estimation of 2D DOA and carrier frequency of impinging signals, then a subspace tracking algorithm based on spherically averaged ULV decomposition is presented. With combination of the above subspace tracking algorithm with 3D Unitary ESPRIT algorithm, adaptive 3D Unitary ESPRIT algorithm is presented to track the time-varying multidimensional parameter estimates. Computer simulation results are provided to demonstrate the effectiveness of the proposed algorithm.
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  • 张贤达,信号处理中的线性代数,北京,科学出版社,1998,第10,11章.[2]XL.E. Griffin, G. W. Stewert, Updating MUSIC and root-MUSIC with the rank revealing URVdecomposition, Proc. of 25th Asilomar Conf. Circuits, Syst. Comput., 1991, 277-281.[3]G..W Stewart, An updating algorithm for subspace tracking, IEEE Trans. on SP, 1992, 40(6),1535-1541.[4]R.O. Schmidt, Multiple emitter location and signal parameter estimation, IEEE Trans. on AP.,1986, 34(3), 276-281.[5]K.J.R. Liu, D. P. OLeary, G. W. Stewart, Y. J. J. Wu, URV ESPRIT for tracking time-varying signals, IEEE Trans. on SP, 1994, 42(12), 3441-3448.[6]R. Roy, T. Kailath, ESPRIT-Estimation of signal parameters via rotational invariance techniques,IEEE Trans. on ASSP, 1989, 37(4), 984-995.[7]M. Haardt , J. A. Nossek, Unitary ESPRIT: How to obtain increased estimate accuracy with a reduced computational burden, IEEE Trans. on SP, 1995, 43(5), 1232-1242.[8]M. Haardt, M. D. Zoltowski, C. P. Mathews, J. A. Nossek, 2D Unitary ESPRIT for efficient 2D parameter estimation, Proc.IEEE Int. Conf. Acoust., Speech, Signal Process., Detroit, MI, May 1995, 3, 2096-2099.[9]M. Haardt, J. A. Nossek, Simultaneous schur decomposition of several nonsymmetric matrices to achieve automatic pairing in multidimensional harmonic retrieval problems, IEEE Trans. on SP,1988, 46(1), 161-169.[10]A. Lee, Centrohermitian and skew-centrohermitian matrices, Linear Algebra Applicat., 1980,29(2), 205-210.[11]周云钟,子空间跟踪及其在阵列信号处理中的应用,[博士论文],成都,电子科技大学,2000[12]R. D. DeGroat, E. M. Dowling, Non-iterative subspace updating, Proc. SPIE Advanced Algorithms and Architectures for Signal Processing, II, San Diego, July, 1991, 376-387.[13]I. Karasalo, Estimating the covariance matrix by signal subspace averaging, IEEE Trans. on ASSP, 1986, 34(1), 8-12.[14]G.W. Stewart, Updating a rank-revealing ULV decoposition, SIAM J. Matrix Anal. Appl., 1993,14(2), 494-499.[15]D. J. Rabideau, Fast, rank adaptive subspace tracking and applications, IEEE Trans. on SP,1996, 44(9), 2229-2245.
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