학술논문

Multi-Objective Evolutionary Algorithm determined radar phase codes
Document Type
Conference
Source
2012 IEEE Radar Conference Radar Conference (RADAR), 2012 IEEE. :0161-0166 May, 2012
Subject
Signal Processing and Analysis
Fields, Waves and Electromagnetics
Components, Circuits, Devices and Systems
Aerospace
Correlation
Doppler radar
Algorithm design and analysis
Measurement
Vectors
Software
Language
ISSN
1097-5659
2375-5318
Abstract
Solving complex real world Multi-Objective Optimization problems is the forte of Multi-Objective Evolutionary Algorithms (MOEA). Such algorithms have been part of many scientific and engineering endeavors. This study applies the NSGA-II and SPEA2 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. The study compares the ability of NSGA-II and SPEA2 to continually evolve (phase code) solutions on the Pareto front for the problem while maintaining a diversity of solutions (phase codes). Results demonstrate that for the radar phase code problem NSGA-II provides a more diverse population of acceptable solutions and therefore a greater number of different viable phase codes when compared to the solutions provided by SPEA2