Cramer-Rao bound for joint location and velocity estimation in multi-target non-coherent MIMO radars

In this paper, we focus on a performance bound for joint location and velocity estimation in non-coherent MIMO radars with multiple targets, which has not been studied before. Closed-form expressions for the Cramer-Rao bound are provided for a two-target case. We use numerical simulations to validate the Cramer-Rao bounds and use these bounds to study the performance of a non-coherent MIMO radar system. We analyze the influence of the distance between two targets on the estimation performance. Simulation results reveal that the spatial advantage, which was uncovered previously for a single-target case, also applies for two targets.

[1]  Alexander M. Haimovich,et al.  Evaluation of Transmit Diversity in MIMO-Radar Direction Finding , 2007, IEEE Transactions on Signal Processing.

[2]  R.S. Blum,et al.  Target localization accuracy and multiple target localization: Tradeoff in MIMO radars , 2008, 2008 42nd Asilomar Conference on Signals, Systems and Computers.

[3]  Alexander M. Haimovich,et al.  Non-coherent MIMO radar for target estimation: More antennas means better performance , 2009, 2009 43rd Annual Conference on Information Sciences and Systems.

[4]  Rick S. Blum,et al.  Concepts and Applications of a MIMO Radar System with Widely Separated Antennas , 2009 .

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

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

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

[8]  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).