Constant modulus waveforms with restraining spectral interferences for cognitive MIMO radar

Apart from basic orthogonality, cognitive multiple-input multiple-output (MIMO) radar waveforms should have the capacity of restraining spectral interferences in complex environment. Constant-modulus waveforms are also desired for the radio frequency (RF) amplifiers. Based on above considerations, this paper proposes an optimization method to design cognitive MIMO radar waveforms with constant modulus and spectral interference constraints. The optimal waveform design problem is converted into standard semi-definite programs (SDP), which are resolved with the semi-definite relaxation (SDR) technique. Simulation results indicate that the proposed approach can effectively design the desired cognitive MIMO radar waveforms with constant modulus and restraining spectral interferences.

[1]  M. C. Wicks,et al.  CoFAR: Cognitive fully adaptive radar , 2014, 2014 IEEE Radar Conference.

[2]  Andrew Chi-Sing Leung,et al.  Waveform Design With Unit Modulus and Spectral Shape Constraints via Lagrange Programming Neural Network , 2015, IEEE Journal of Selected Topics in Signal Processing.

[3]  S. Haykin,et al.  Cognitive radar: a way of the future , 2006, IEEE Signal Processing Magazine.

[4]  Xia Li,et al.  Demonstration of cognitive radar for target localization under interference , 2014, IEEE Transactions on Aerospace and Electronic Systems.

[5]  J. R. Guerci,et al.  Cognitive radar: A knowledge-aided fully adaptive approach , 2010, 2010 IEEE Radar Conference.

[6]  Zhi-Quan Luo,et al.  Semidefinite Relaxation of Quadratic Optimization Problems , 2010, IEEE Signal Processing Magazine.

[7]  Simon Haykin,et al.  Cognitive Radar: Step Toward Bridging the Gap Between Neuroscience and Engineering , 2012, Proceedings of the IEEE.

[8]  Hongbin Li,et al.  MIMO Radar Waveform Design With Constant Modulus and Similarity Constraints , 2014, IEEE Transactions on Signal Processing.