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An Evolutionary Algorithm Approach to Simultaneous Multi-Mission Radar Waveform Design

An Evolutionary Algorithm Approach to Simultaneous Multi-Mission Radar Waveform Design

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The simulation results although preliminary illustrate an increase in fitness for two experimental simulation scenarios. Each scenario incorporates multiple objectives to be optimized which are dictated by the mission or missions of interest. The relatively small initial population size and the number of generations allowed to evolve were dictated by computing and time constraints. Current investigations are applying the four objective functions presented herein to a single simulated scenario. Additional degrees of freedom of the waveform parameter space are also being investigated and simulated. These incremental advances will be reported in future forums on waveform diversity and design. The presented technique to the design of diverse waveforms shows promise and will continue to become more practical as computing resources increase in power and affordability.

Inspec keywords: evolutionary computation; radar computing; resource allocation; radar applications

Other keywords: population size; computing resources; missions of interest; evolutionary algorithm approach; computing constraints; waveform parameter space; single simulated scenario; objective functions; waveform diversity; time constraints; simultaneous multimission radar waveform design; experimental simulation scenarios

Subjects: Optimisation techniques; Radar theory; Radar equipment, systems and applications; Optimisation techniques; Electrical engineering computing

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