Information-theoretic algorithm for waveform optimization within ultra wideband cognitive radar network

A novel information-theoretic approach for designing the excitation ultra wideband (UWB) waveforms within a cognitive radar network is developed. This method utilizes the mutual information (MI) between subsequent radar returns to extract desired information from the radar scene. With this approach, the radar system constantly learns about its surroundings and adopts its operational mode accordingly based upon the MI minimization criterion. Subsequently, the positioning algorithm makes use of this information about the radar scene to generate more accurate location estimates. Numerical results demonstrate an improvement in the probability of target detection even at low values of receive signal-to-noise ratio (SNR). The proposed algorithm also promises a better delay-Doppler resolution of the target, which can be analyzed through the radar ambiguity function (AF). Simulation data show an improvement in the target discrimination ability in the presence of noise and clutter.

[1]  Nathan A. Goodman,et al.  Novel iterative techniques for radar target discrimination , 2006, 2006 International Waveform Diversity & Design Conference.

[2]  Yifan Chen,et al.  Ultra-wideband cognitive interrogator network: adaptive illumination with active sensors for target localisation , 2010, IET Commun..

[3]  Arye Nehorai,et al.  Information theoretic radar waveform design for multiple targets , 2007 .

[4]  James L. Massey,et al.  Proper complex random processes with applications to information theory , 1993, IEEE Trans. Inf. Theory.

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

[6]  Rick S. Blum,et al.  MIMO Radar Waveform Design via Alternating Projection , 2010, IEEE Transactions on Signal Processing.

[7]  R.S. Blum,et al.  Waveform Design for MIMO Radar Based on Mutual Information and Minimum Mean-Square Error Estimation , 2006, 2006 40th Annual Conference on Information Sciences and Systems.

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

[9]  M. Dawood,et al.  Doppler measurements using a coherent ultrawideband random noise radar , 1999, IEEE Antennas and Propagation Society International Symposium. 1999 Digest. Held in conjunction with: USNC/URSI National Radio Science Meeting (Cat. No.99CH37010).

[10]  P. Antonik,et al.  Information Theoretic Criterion for Waveform Selection , 2006, Fourth IEEE Workshop on Sensor Array and Multichannel Processing, 2006..

[11]  Merril I. Skolnik,et al.  Introduction to radar systems /2nd edition/ , 1980 .

[12]  A. W. Rihaczek.  Principles of high-resolution radar , 1969 .