Multitarget detection and localization method for bistatic MIMO radar

In this paper, we present a scheme of detection and localization of multiple targets in the same range cell using two transmitters bistatic MIMO radar. The signal model is constructed by means of the rotational factor produced by transmiter. Based on the signal model, canonical correlation test (CCT) method is extended directly to determine the number of targets. Furthermore, a close form solution for localization the multiple targets is presented via ESPRIT. The direction of arrivals (DOAs) and direction of departures (DODs) of the targets can be solved and paired automatically. Simulation results demonstrate the effectiveness of the methods.

[1]  R.S. Blum,et al.  High Resolution Capabilities of MIMO Radar , 2006, 2006 Fortieth Asilomar Conference on Signals, Systems and Computers.

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

[3]  Jian Li,et al.  Adaptive Techniques for MIMO Radar , 2006, Fourth IEEE Workshop on Sensor Array and Multichannel Processing, 2006..

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

[5]  Robert W. Newcomb,et al.  Estimating 2-D angles of arrival via two parallel linear arrays , 1989, International Conference on Acoustics, Speech, and Signal Processing,.

[6]  D.W. Bliss,et al.  Multiple-input multiple-output (MIMO) radar: performance issues , 2004, Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004..

[7]  Rick S. Blum,et al.  MIMO radar: an idea whose time has come , 2004, Proceedings of the 2004 IEEE Radar Conference (IEEE Cat. No.04CH37509).

[8]  Rick S. Blum,et al.  Performance of MIMO radar systems: advantages of angular diversity , 2004, Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004..

[9]  Jun Li,et al.  Multitarget Identification and Localization Using Bistatic MIMO Radar Systems , 2008, EURASIP J. Adv. Signal Process..

[10]  Jian Li,et al.  On Parameter Identifiability of MIMO Radar , 2007, IEEE Signal Processing Letters.

[11]  James P. Reilly,et al.  Detection of the number of signals in noise with banded covariance matrices , 1996 .

[12]  F.C. Robey,et al.  MIMO radar theory and experimental results , 2004, Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004..