Radar phase-coded waveform design using MOEAs

Authors

Jeremy P. Stringer, Air Force Institute of Technology
Gary B. Lamont, Air Force Institute of TechnologyFollow
Geoffrey A. Akers, Air Force Institute of Technology

Document Type

Conference Proceeding

Publication Date

6-10-2012

Abstract

This study applies the NSGA-II, SPEA2, and MOEA/D Multi-Objective Evolutionary Algorithms (MOEAs) to the radar phase coded waveform design problem. The MOEAs are used to generate a series of radar waveform phase codes that have excellent range resolution and Doppler resolution capabilities, while maintaining excellent autocorrelation properties. The study compares the ability of NSGA-II, SPEA2, and MOEA/D to generate a Pareto front of phase code solutions, and then improve upon the quality of the solutions while maintaining a sufficient diversity of available radar phase codes. Results demonstrate that for solving moderate to large instances of the radar phase code problem all three MOEAs generate a diverse set of Pareto optimal radar phase codes. The phase codes generated by NSGA-II have overall better autocorrelation properties than those generated by SPEA2 and MOEA/D, however, all three MOEAs produce useable phase codes.

Comments

Copyright © 2012, IEEE

Co-author J. Stringer was an AFIT PhD student at the time of this conference. (AFIT-ENG-DS-13-D-01, December 2013)

DOI

10.1109/CEC.2012.6256554

Source Publication

2012 IEEE Congress on Evolutionary Computation (CEC)

Recommended Citation

J. Stringer, G. Lamont and G. Akers, "Radar phase-coded waveform design using MOEAs," 2012 IEEE Congress on Evolutionary Computation, Brisbane, QLD, Australia, 2012, pp. 1-8, doi: 10.1109/CEC.2012.6256554.