Adaptive Waveform Design for Multiple Radar Tasks Based on Constant Modulus Constraint

Cognitive radar is an intelligent system, and it can adaptively transmit waveforms to the complex environment. The intelligent radar system should be able to provide different trade-offs among a variety of performance objectives. In this paper, we investigate the mutual information (MI) in signal-dependent interference and channel noise. We propose a waveform design method which can efficiently synthesize waveforms and provide a trade-off between estimation performance and detection performance. After obtaining a local optimal waveform, we apply the technique of generating a constant modulus signal with the given Fourier transform magnitude to the waveform. Finally we obtain a waveform that has constant modulus property.

[1]  Ric A. Romero,et al.  Waveform design in signal-dependent interference and application to target recognition with multiple transmissions , 2009 .

[2]  Nathan A. Goodman,et al.  Theory and Application of SNR and Mutual Information Matched Illumination Waveforms , 2011, IEEE Transactions on Aerospace and Electronic Systems.

[3]  S. Haykin,et al.  Optimal waveform design for cognitive radar , 2008, 2008 42nd Asilomar Conference on Signals, Systems and Computers.

[4]  Mark R. Bell.  Information theory and radar waveform design , 1993, IEEE Trans. Inf. Theory.

[5]  N.A. Goodman,et al.  Adaptive waveforms for target class discrimination , 2007, 2007 International Waveform Diversity and Design Conference.

[6]  Y. H. Chew,et al.  Information-theoretic algorithm for waveform optimization within ultra wideband cognitive radar network , 2010, 2010 IEEE International Conference on Ultra-Wideband.

[7]  Dante C. Youla,et al.  Optimum transmit-receiver design in the presence of signal-dependent interference and channel noise , 1999, Conference Record of the Thirty-Third Asilomar Conference on Signals, Systems, and Computers (Cat. No.CH37020).

[8]  Simon Haykin,et al.  Cognition is the Key to the Next Generation of Radar Systems , 2009, 2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop.

[9]  B. Rigling,et al.  Modulus constraints in adaptive radar waveform design , 2008, 2008 IEEE Radar Conference.

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

[11]  A. Nehorai,et al.  Information Theoretic Adaptive Radar Waveform Design for Multiple Extended Targets , 2007, IEEE Journal of Selected Topics in Signal Processing.

[12]  S. Unnikrishna Pillai,et al.  Reconstruction of constant envelope signals with given Fourier transform magnitude , 2009, 2009 IEEE Radar Conference.