MIMO-OTH Radar: Signal Model for Arbitrary Placement and Signals With Non-Point Targets

Taking into account the existence of multipath ionospheric propagation (MIP), a typical phenomenon that skywave over-the-horizon (OTH) radar may encounter, this paper develops the received signal model for a non-point target for multiple-input multiple-output skywave over-the-horizon (MIMO-OTH) radar using the most well accepted physics-based model of the ionosphere. The signal model describes the ionospheric state, the number of propagation paths between a radar antenna and the target center, as well as the correlation between reflection coefficients. It is shown that varying system parameters, such as antenna positions and signal frequencies, can result in causing the model to change from a case with highly correlated reflection coefficients, for some paths, to a case with virtually uncorrelated reflection coefficients for these same paths. Conditions are presented that describe when the highly correlated reflection coefficient case applies and when the virtually uncorrelated reflection coefficient case applies. Then, the proposed model is used to solve an example target detection problem. Some cases are shown where the performance may improve when more paths are present. The maximum possible diversity is computed and shown to increase with the number of paths which partially explains these observations. It is shown in the studied example that even if the receive antennas are closely spaced, full diversity gain may be obtained due to MIP.

[1]  Qian He,et al.  Diversity Gain for MIMO Neyman–Pearson Signal Detection , 2011, IEEE Transactions on Signal Processing.

[2]  Yonina C. Eldar,et al.  Spatial compressive sensing in MIMO radar with random arrays , 2012, 2012 46th Annual Conference on Information Sciences and Systems (CISS).

[3]  G. Breit,et al.  A Test of the Existence of the Conducting Layer , 1926 .

[4]  Qian He,et al.  Diversity gain for MIMO radar employing nonorthogonal waveforms , 2010, 2010 4th International Symposium on Communications, Control and Signal Processing (ISCCSP).

[5]  Hongbin Li,et al.  A Parametric Moving Target Detector for Distributed MIMO Radar in Non-Homogeneous Environment , 2013, IEEE Transactions on Signal Processing.

[6]  Dieter Bilitza,et al.  International reference ionosphere 1990 , 1992 .

[7]  Yuri I. Abramovich,et al.  Principles of Mode-Selective MIMO OTHR , 2013, IEEE Transactions on Aerospace and Electronic Systems.

[8]  Peter B. Luh,et al.  The MIMO Radar and Jammer Games , 2012, IEEE Transactions on Signal Processing.

[9]  Bodo W. Reinisch,et al.  International Reference Ionosphere 2000 , 2001 .

[10]  B. P. Lathi,et al.  Modern Digital and Analog Communication Systems , 1983 .

[11]  Dieter Bilitza,et al.  International reference ionosphere , 1978 .

[12]  Peter. Dyson,et al.  A model of the vertical distribution of the electron concentration in the ionosphere and its application to oblique propagation studies , 1988 .

[13]  Yuri I. Abramovich,et al.  Noncausal Adaptive Spatial Clutter Mitigation in Monostatic MIMO Radar: Fundamental Limitations , 2010, IEEE Journal of Selected Topics in Signal Processing.

[14]  Visa Koivunen,et al.  Performance of MIMO Radar With Angular Diversity Under Swerling Scattering Models , 2010, IEEE Journal of Selected Topics in Signal Processing.

[15]  Rick S. Blum,et al.  Target Localization and Tracking in Noncoherent Multiple-Input Multiple-Output Radar Systems , 2012, IEEE Transactions on Aerospace and Electronic Systems.

[16]  Jeffrey L. Krolik,et al.  Maximum likelihood coordinate registration for over-the-horizon radar , 1997, IEEE Transactions on Signal Processing.

[17]  Robin J. Evans,et al.  A multipath data association tracker for over-the-horizon radar , 1998 .

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

[19]  Raviraj S. Adve,et al.  Canadian HF Over-the-Horizon Radar experiments using MIMO techniques to control auroral clutter , 2010, 2010 IEEE Radar Conference.

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

[21]  H. Vincent Poor,et al.  CSSF MIMO RADAR: Compressive-Sensing and Step-Frequency Based MIMO Radar , 2012, IEEE Transactions on Aerospace and Electronic Systems.

[22]  Alexander M. Haimovich,et al.  Spatial Diversity in Radars—Models and Detection Performance , 2006, IEEE Transactions on Signal Processing.

[23]  C. Morisseau,et al.  Over-the-horizon radar target tracking using multi-quasi-parabolic ionospheric modelling , 2006 .

[24]  M. Skolnik,et al.  Introduction to Radar Systems , 2021, Advances in Adaptive Radar Detection and Range Estimation.

[25]  Rick S. Blum Limiting Case of a Lack of Rich Scattering Environment for MIMO Radar Diversity , 2009, IEEE Signal Processing Letters.

[26]  Braham Himed,et al.  Altitude estimation of maneuvering targets in mimo over-the-horizon radar , 2012, 2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop (SAM).

[27]  Aitor Anduaga Sydney Chapman on the Layering of the Atmosphere: Conceptual Unity and the Modelling of the Ionosphere , 2009 .

[28]  H. Vincent Poor,et al.  Power Allocation Strategies for Target Localization in Distributed Multiple-Radar Architectures , 2011, IEEE Transactions on Signal Processing.