Multitarget Identification and Localization Using Bistatic MIMO Radar Systems

A scheme for multitarget identification and localization using bistatic MIMO radar systems is proposed. Multitarget can be distinguished by Capon method, as well as the targets angles with respect to transmitter and receiver can be synthesized using the received signals. Thus, the locations of the multiple targets are obtained and spatial synchronization problem in traditional bistatic radars is avoided. The maximum number of targets that can be uniquely identified by proposed method is also analyzed. It is indicated that the product of the numbers of receive and transmit elements minus-one targets can be identified by exploiting the fluctuating of the radar cross section (RCS) of the targets. Cramer-Rao bounds (CRB) are derived to obtain more insights of this scheme. Simulation results demonstrate the performances of the proposed method using Swerling II target model in various scenarios.

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

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

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

[4]  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).

[5]  K.Venkatesh Prasad,et al.  Fundamentals of statistical signal processing: Estimation theory: by Steven M. KAY; Prentice Hall signal processing series; Prentice Hall; Englewood Cliffs, NJ, USA; 1993; xii + 595 pp.; $65; ISBN: 0-13-345711-7 , 1994 .

[6]  Joseph Tabrikian,et al.  Spatially coded signal model for active arrays , 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[7]  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..

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

[9]  Wang Jun,et al.  Analysis and experimental results on sparse-array synthetic impulse and aperture radar , 2001, 2001 CIE International Conference on Radar Proceedings (Cat No.01TH8559).

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

[11]  P. Stoica,et al.  The stochastic CRB for array processing: a textbook derivation , 2001, IEEE Signal Processing Letters.

[12]  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..

[13]  P. Stoica,et al.  MIMO Radar Diversity Means Superiority , 2009 .

[14]  Petre Stoica,et al.  Performance study of conditional and unconditional direction-of-arrival estimation , 1990, IEEE Trans. Acoust. Speech Signal Process..