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Evolutionary Algorithms Based Sparse Spectrum Waveform Optimization

Evolutionary Algorithms Based Sparse Spectrum Waveform Optimization

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This chapter presents a technique to determine a suite of 'optimal' waveforms (in the Pareto sense) for a single platform radar system performing multiple radar missions simultaneously. The authors contend that a waveform suite can be determined by applying the Strength Pareto Evolutionary Algorithm 2 (SPEA2) developed by Zitzler et al. to find waveform parameters that successfully realize a set of objectives particular to a variety of radar missions. The objectives to be optimized are dictated by the missions of interest. The mapping of these objective functions to actual radar performance parameters is used in the SPEA2 algorithm to determine how best to perform multiple radar missions simultaneously, such as ground moving target indication (GMTI), airborne moving-target indication (AMTI), synthetic aperture radar (SAR) imaging, etc. using a single radar system. This chapter introduces the concept of using an evolutionary computational approach to design optimal waveforms for a diverse set of radar missions. Results are presented for a scaled multi-mission multi-objective function scenario to illustrate the potential of the proposed methodology.

Inspec keywords: evolutionary computation; waveform analysis; synthetic aperture radar; Pareto optimisation; radar imaging; airborne radar; target tracking

Other keywords: ground moving target indication; AMTI; strength Pareto evolutionary algorithm 2; sparse spectrum waveform optimization; radar performance parameters; waveform parameters; multiple radar missions; single platform radar system; evolutionary computational approach; SPEA2 algorithm; synthetic aperture radar imaging; GMTI; multimission multiobjective function scenario; single radar system; optimal waveforms; waveform suite; SAR imaging; evolutionary algorithms; airborne moving-target indication

Subjects: Radar theory; Optimisation techniques; Mathematical analysis; Optical, image and video signal processing; Radar equipment, systems and applications

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