Finding optimal Pulse Repetion Intervals with Many-objective Evolutionary Algorithms
This provides a domain-specific benchmark for radar system optimization, but is incremental as it revisits an existing problem for algorithm comparison.
The paper tackles the problem of finding optimal Pulse Repetition Intervals to mitigate range and Doppler ambiguities in Pulsed-Doppler radar systems, using it as a baseline to compare several Evolutionary Algorithms for black-box optimization and aggregating results into a reference set of Pareto optimal points for radar designers.
In this paper we consider the problem of finding Pulse Repetition Intervals allowing the best compromises mitigating range and Doppler ambiguities in a Pulsed-Doppler radar system. We revisit a problem that was proposed to the Evolutionary Computation community as a real-world case to test Many-objective Optimization algorithms. We use it as a baseline to compare several Evolutionary Algorithms for black-box optimization with different metrics. Resulting data is aggregated to build a reference set of Pareto optimal points and is the starting point for further analysis and operational use by the radar designer.