Exploiting persymmetry for adaptive detection in distributed MIMO radar

We consider the adaptive detection problem in colored Gaussian noise with unknown persymmetric covariance matrix in a multiple-input-multiple-output (MIMO) radar with spatially dispersed antennas. To this end, a set of secondary data for each transmit-receive pair is assumed to be available. MIMO versions of the persymmetric generalized likelihood ratio test (MIMO-PGLRT) detector and the persymmetric sampler matrix inversion (MIMO-PSMI) detector are proposed. Compared to the MIMO-PGLRT detector, the MIMO-PSMI detector has a simple form and is computationally more efficient. Numerical examples are provided to demonstrate that the proposed two detection algorithms can significantly alleviate the requirement of the amount of secondary data, and allow for a noticeable improvement in detection performance.

[1]  Hongbin Li,et al.  Transmit Subaperturing for MIMO Radars With Co-Located Antennas , 2010, IEEE Journal of Selected Topics in Signal Processing.

[2]  P. Stoica,et al.  MIMO Radar Signal Processing , 2008 .

[3]  Ramon Nitzberg.  Application of Maximum Likelihood Estimation of Persymmetric Covariance Matrices to Adaptive Processing , 1980, IEEE Transactions on Aerospace and Electronic Systems.

[4]  H. Wang,et al.  A persymmetric multiband GLR algorithm , 1992 .

[5]  Ali Zamani,et al.  Temporal coherent adaptive target detection for multi-input multi-output radars in clutter , 2008 .

[6]  Rick S. Blum,et al.  Exact performance of STAP algorithms with mismatched steering and clutter statistics , 2000, IEEE Trans. Signal Process..

[7]  Jian Li,et al.  MIMO Radar with Colocated Antennas , 2007, IEEE Signal Processing Magazine.

[8]  Harry L. Van Trees,et al.  Optimum Array Processing: Part IV of Detection, Estimation, and Modulation Theory , 2002 .

[9]  Hongbin Li,et al.  Persymmetric Parametric Adaptive Matched Filter for Multichannel Adaptive Signal Detection , 2012, IEEE Transactions on Signal Processing.

[10]  V. Monga,et al.  Rank constrained ML estimation of structured covariance matrices with applications in radar target detection , 2012, 2012 IEEE Radar Conference.

[11]  Philippe Forster,et al.  Persymmetric Adaptive Radar Detectors , 2011, IEEE Transactions on Aerospace and Electronic Systems.

[12]  Hongbin Li,et al.  Moving Target Detection Using Distributed MIMO Radar in Clutter With Nonhomogeneous Power , 2011, IEEE Transactions on Signal Processing.

[13]  Antonio De Maio.  Maximum likelihood estimation of structured persymmetric covariance matrices , 2003, Signal Process..

[14]  Zi-Jing Zhang,et al.  A closed-form expression for false alarm rate of adaptive MIMO-GLRT detector with distributed MIMO radar , 2013, Signal Process..

[15]  L.J. Cimini,et al.  MIMO Radar with Widely Separated Antennas , 2008, IEEE Signal Processing Magazine.

[16]  Antonio De Maio,et al.  A Persymmetric GLRT for Adaptive Detection in Partially-Homogeneous Environment , 2007, IEEE Signal Processing Letters.

[17]  A. De Maio,et al.  Design Principles of MIMO Radar Detectors , 2007, IEEE Transactions on Aerospace and Electronic Systems.

[18]  Xiaochuan Ma,et al.  Persymmetric Rao and Wald Tests for Partially Homogeneous Environment , 2012, IEEE Signal Processing Letters.

[19]  Hong Wang,et al.  A persymmetric modified-SMI algorithm , 1991, Signal Process..

[20]  Dong Yang,et al.  A Persymmetric GLRT for Adaptive Detection in Compound-Gaussian Clutter With Random Texture , 2013, IEEE Signal Processing Letters.

[21]  Antonio A. D'Amico,et al.  A “Reciprocity” Property of the Unbiased Cramér–Rao Bound for Vector Parameter Estimation , 2014, IEEE Signal Processing Letters.