An application of hybrid differential evolution to 3-D near field source localization

摘要: 3-D near field source localization is one of the hot areas research which has found direct applications in Radar, Sonar and digital communication. In this work, we propose hybrid meta-heuristic based algorithm to estimate jointly efficiently range, elevation angle amplitude sources impinging on uniform linear array. For this, first Differential evolution (DE) Interior Point Algorithm (IPA) are employed independently then both them hybridized with each other improve accuracy convergence rate further. hybridization, DE used as a global optimization method while IPA acted rapid local search optimizer. Mean Square Error an objective evaluation function requires single snapshot converge avoids any ambiguity among angles that supplement other. The proposed scheme (DE-IPA) produced better results compare alone. Moreover, DE-IPA also compared technique Genetic point (GA-IPA). comparison made basis estimation accuracy, robustness against noise, root mean square error. validity effectiveness exploited large number Monte-Carlo simulations.