Target Localization and Tracking in Noncoherent Multiple-Input Multiple-Output Radar Systems

For a noncoherent multiple-input multiple-output (MIMO) radar system, the maximum likelihood estimator (MLE) of the target location and velocity, as well as the corresponding Cramer-Rao lower bound (CRLB) matrix, is derived. MIMO radar's potential in localization and tracking performance is demonstrated by adopting simple Gaussian pulse waveforms. Due to the short duration of the Gaussian pulses, a very high localization performance can be achieved, even when the matched filter ignores the Doppler effect by matching to zero Doppler shift. This leads to significantly reduced complexities for the matched filter and the MLE. Further, two interactive signal processing and tracking algorithms, based on the Kalman filter and the particle filter (PF), respectively, are proposed for noncoherent MIMO radar target tracking. For a system with a large number of transmit/receive elements and a high signal-to-noise ratio (SNR) value, the Kalman filter (KF) is a good choice; while for a system with a small number of elements and a low SNR value, the PF outperforms the KF significantly. In both methods, the tracker provides predictive information regarding the target location, so that the matched filter can match to the most probable target locations, reducing the complexity of the matched filter and improving the tracking performance. Since tracking is performed without detection, the presented approach can be deemed as a track-before-detect approach. It is demonstrated through simulations that the noncoherent MIMO radar provides significant tracking performance improvement over a monostatic phased array radar with high range and azimuth resolutions. Further, the effects of coherent integration of pulses are investigated for both the phased array radar and a hybrid MIMO radar, where only the pulses transmitted and received by colocated transceivers are coherently integrated and the other pulses are combined noncoherently. It is shown that the hybrid MIMO radar achieves significant tracking performance improvement when compared with the phased array radar, by using the extra Doppler information obtained through coherent pulse integration.

[1]  H. V. Trees Detection, Estimation, And Modulation Theory , 2001 .

[2]  Jeffrey K. Uhlmann,et al.  Unscented filtering and nonlinear estimation , 2004, Proceedings of the IEEE.

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

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

[5]  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.

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

[7]  Gerard J. Foschini,et al.  Layered space-time architecture for wireless communication in a fading environment when using multi-element antennas , 1996, Bell Labs Technical Journal.

[8]  D. Fuhrmann,et al.  Transmit beamforming for MIMO radar systems using partial signal correlation , 2004, Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004..

[9]  Neil J. Gordon,et al.  A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking , 2002, IEEE Trans. Signal Process..

[10]  Alexander M. Haimovich,et al.  Cramer-Rao bound for target velocity estimation in MIMO radar with widely separated antennas , 2008, 2008 42nd Annual Conference on Information Sciences and Systems.

[11]  Rick S. Blum,et al.  Target localisation techniques and tools for multiple-input multiple-output radar , 2009 .

[12]  Alexander M. Haimovich,et al.  Noncoherent MIMO Radar for Location and Velocity Estimation: More Antennas Means Better Performance , 2010, IEEE Transactions on Signal Processing.

[13]  Nando de Freitas,et al.  Sequential Monte Carlo Methods in Practice , 2001, Statistics for Engineering and Information Science.

[14]  Timothy J. Robinson,et al.  Sequential Monte Carlo Methods in Practice , 2003 .

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

[16]  Daniel W. Bliss,et al.  Multiple-input multiple-output (MIMO) radar and imaging: degrees of freedom and resolution , 2003, The Thrity-Seventh Asilomar Conference on Signals, Systems & Computers, 2003.

[17]  Thiagalingam Kirubarajan,et al.  Estimation with Applications to Tracking and Navigation , 2001 .

[18]  Carlos H. Muravchik,et al.  Posterior Cramer-Rao bounds for discrete-time nonlinear filtering , 1998, IEEE Trans. Signal Process..

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

[20]  Rick S. Blum,et al.  Target tracking in widely separated non-coherent multiple-input multiple-output radar systems , 2009, 2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers.

[21]  David Tse,et al.  Fundamentals of Wireless Communication , 2005 .

[22]  Alexander M. Haimovich,et al.  Cramer Rao bound on target localization estimation in MIMO radar systems , 2008, 2008 42nd Annual Conference on Information Sciences and Systems.

[23]  C. J. Baker,et al.  Netted radar sensing , 2005 .

[24]  Aleksandar Dogandzic,et al.  Cramer-Rao bounds for estimating range, velocity, and direction with an active array , 2001, IEEE Trans. Signal Process..

[25]  D. J. Rabideau,et al.  Ubiquitous MIMO multifunction digital array radar , 2003, The Thrity-Seventh Asilomar Conference on Signals, Systems & Computers, 2003.

[26]  S. Coutts,et al.  Distributed Coherent Aperture Measurements for Next Generation BMD Radar , 2006, Fourth IEEE Workshop on Sensor Array and Multichannel Processing, 2006..

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

[28]  Alexander M. Haimovich,et al.  Target Velocity Estimation and Antenna Placement for MIMO Radar With Widely Separated Antennas , 2010, IEEE Journal of Selected Topics in Signal Processing.

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

[30]  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..