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Radar Angle of Arrival System Design Optimization Using a Genetic Algorithm

Department of Electrical and Computer Engineering, 406 Hardy Rd., Mississippi State University, Mississippi State, MS 39762, USA
Author to whom correspondence should be addressed.
Academic Editor: Mostafa Bassiouni
Electronics 2017, 6(1), 24;
Received: 31 December 2016 / Revised: 17 March 2017 / Accepted: 20 March 2017 / Published: 22 March 2017
(This article belongs to the Special Issue Radio and Radar Signal Processing)
PDF [1094 KB, uploaded 22 March 2017]


An approach for using a Genetic Algorithm (GA) to select radar design parameters related to beamforming and angle of arrival estimation is presented in this article. This was accomplished by first developing a simulator that could evaluate the localization performance with a given set of design parameters. The simulator output was utilized as part of the GA objective function that searched the solution space for an optimal set of design parameters. Using this approach, the authors were able to more than halve the mean squared error in degrees of the localization algorithm versus a radar design using human-selected design parameters. The results of this study indicate that this kind of approach can be used to aid in the development of an actual radar design. View Full-Text
Keywords: angle of arrival estimation; beamforming; genetic algorithm; radar; optimization angle of arrival estimation; beamforming; genetic algorithm; radar; optimization

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Egger, N.; Ball, J.E.; Rogers, J. Radar Angle of Arrival System Design Optimization Using a Genetic Algorithm. Electronics 2017, 6, 24.

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