Improved 2-class target classification performance using radar waveform design

This paper establishes the importance of radar waveforms in determining classification performance in radar systems. The paper derives a closed-form solution for the optimal waveform design. The objective is to minimise the probability of target misclassification in a 2-class problem while satisfying an energy constraint. The derivation results in a simple analytical form for the spectrum of the optimal signal. An example is presented showing the improvement in classification performance of the optimal waveform over a linearly frequency modulated waveform.

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

[2]  Nathan A. Goodman,et al.  Improved waveform design for target recognition with multiple transmissions , 2009, 2009 International Waveform Diversity and Design Conference.

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

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

[5]  Alan V. Oppenheim,et al.  Discrete-time signal processing (2nd ed.) , 1999 .

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

[7]  S. Kay,et al.  Optimal Signal Design for Detection of Gaussian Point Targets in Stationary Gaussian Clutter/Reverberation , 2007, IEEE Journal of Selected Topics in Signal Processing.

[8]  L. P. Ligthart,et al.  Optimal waveform synthesis for adaptive radar , 2016, 2016 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC).