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; radar applications; resource allocation

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

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