Effects of Model Mismatch in MIMO Radar

The current literature on MIMO radar commonly uses a signal model that assumes that the Doppler and delay parameters of the scatterers lie on a discrete grid. The Doppler and delay of actual scatterers take on arbitrary values causing a mismatch between this model and reality. Here, we develop a signal model that takes into account this mismatch and shows that it causes a distortion of the array manifold. This distortion, which is unique to MIMO radar, impacts the results of array processing functions such as beamforming, null steering, and direction finding. The degree of performance degradation caused by this is illustrated by numerical examples.

[1]  Benjamin Friedlander On spatial processing in MIMO radar , 2011, 2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR).

[2]  Jian Li,et al.  Iterative Generalized-Likelihood Ratio Test for MIMO Radar , 2007, IEEE Transactions on Signal Processing.

[3]  D.J. Rabideau,et al.  Adaptive MIMO radar waveforms , 2008, 2008 IEEE Radar Conference.

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

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

[6]  T. Engin Tuncer,et al.  Classical and Modern Direction-of-Arrival Estimation , 2009 .

[7]  Christopher M. Teixeira Performance bounds on MIMO radar with optimized coded constant modulus waveforms , 2010, 2010 IEEE Radar Conference.

[8]  J. Tabrikian,et al.  Target Detection and Localization Using MIMO Radars and Sonars , 2006, IEEE Transactions on Signal Processing.

[9]  R. O. Schmidt,et al.  Multiple emitter location and signal Parameter estimation , 1986 .

[10]  Daniel W. Bliss,et al.  Clutter covariance matrices for GMTI MIMO radar , 2010, 2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers.

[11]  M. Viberg,et al.  Two decades of array signal processing research: the parametric approach , 1996, IEEE Signal Process. Mag..

[12]  J.L. Krolik,et al.  Slow-Time MIMO STAP with Improved Power Efficiency , 2007, 2007 Conference Record of the Forty-First Asilomar Conference on Signals, Systems and Computers.

[13]  Don H. Johnson,et al.  Array Signal Processing: Concepts and Techniques , 1993 .

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

[15]  D. W. Bliss,et al.  GMTI MIMO radar , 2009, 2009 International Waveform Diversity and Design Conference.

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

[17]  Jian Li,et al.  Range Compression and Waveform Optimization for MIMO Radar: A CramÉr–Rao Bound Based Study , 2007, IEEE Transactions on Signal Processing.