Title :
Optimization of Subarray Partition Based on Genetic Algorithm
Author :
Xie, Wen-chong ; Wang, Yong-Liang
Author_Institution :
Sch. of Electron. Sci. & Eng., NUDT, Changsha
Abstract :
Suboptimum performance may be obtained by partially adaptive processing at the subarray stage where the problem of how to group the subarrays is an important task. In this paper, an effective subarray partition method based on genetic algorithm is proposed, which divides a uniform linear array employing amplitude tapering into contiguous subarrays of unequally sized. In the genetic algorithm, the crossovers are prevented by including an appropriate penalty term in the cost function. The simulation results are given to show that the subarray configuration has few obvious grating lobes while its clutter suppression performance is close to that at the element stage
Keywords :
airborne radar; genetic algorithms; phased array radar; radar clutter; space-time adaptive processing; amplitude tapering; clutter suppression performance; contiguous subarrays; genetic algorithm; grating lobes; partially adaptive processing; subarray partition method; uniform linear array; Adaptive arrays; Airborne radar; Genetic algorithms; Gratings; Linear antenna arrays; Phase detection; Phased arrays; Radar clutter; Radar detection; Spaceborne radar;
Conference_Titel :
Signal Processing, 2006 8th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9736-3
Electronic_ISBN :
0-7803-9736-3
DOI :
10.1109/ICOSP.2006.346043