Title :
Use of genetic algorithms in ISAR imaging of targets with higher order motions
Author :
Junfei Li ; Hao Ling
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA
Abstract :
Genetic algorithms (GA) are proposed for inverse synthetic aperture radar (ISAR) imaging. GA is used for motion parameters search in place of exhaustive search in the adaptive joint time-frequency (AJTF) algorithm. While maintaining the same accuracy, GA has lower computational complexity, especially for targets with higher order motions.
Keywords :
computational complexity; genetic algorithms; motion compensation; phase estimation; radar imaging; synthetic aperture radar; time-frequency analysis; ISAR imaging; adaptive joint time-frequency algorithm; computational complexity; genetic algorithms; higher order motion targets; inverse synthetic aperture radar imaging; motion parameters search; Acoustic signal detection; Acoustic signal processing; Doppler radar; Genetic algorithms; Radar imaging; Signal analysis; Signal detection; Signal processing; Speech analysis; Speech processing;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
DOI :
10.1109/TAES.2003.1188916
