Genetic Algorithm Receiver Optimization for Passive, Bi-static Synthetic Aperture Radar
Utilizing communication transmissions within an urban environment for passive radar has seen a huge surge in interest over the past decade. While the feasibility of using signals of opportunity for passive radar has been shown, very little research has been done for the optimization of passive transmitter/receiver pairings within urban environments. This research provides a receiver design based optimization of passive transmitter/receiver pairing using non-dominated sorting genetic algorithm (NSGA-II) to solve a constrained multi-objective model. Comparing the results of an exhaustive search and the genetic algorithm (GA), the efficiency and effectiveness of using a GA for mixed variables over non-continuous, non-convex objectives associated with bi-static synthetic aperture radar (SAR) is demonstrated.