Title :
An innovative subarray partition method based on genetic algorithm for linear arrays
Author :
Zi-Yuan Xiong ; Zhen-Hai Xu ; Liang Zhang ; Shun-Ping Xiao
Author_Institution :
State Key Lab. of Complex Electromagn. Environ. Effects on Electron. & Inf. Syst., Nat. Univ. of Defense Technol., Changsha, China
Abstract :
Subarray technology is an effective solution to the “conflict of sum and difference” in a large array radar. However, the optimal subarray partition method is a difficult problem both in the theoretic and practices. By exploring the advantage of genetic algorithm, a method, to optimize the subarray configuration in monopulse application, is proposed in this paper. The innovative method is subtly designed and discussed in-depth. Numerical results are presented to validate the effectiveness of the innovative method.
Keywords :
genetic algorithms; linear antenna arrays; numerical analysis; genetic algorithm; innovative subarray partition method; linear arrays; monopulse application; numerical analysis; radar antenna array; subarray technology; array antenna; genetic algorithm (GA); monopulse; subarray technique; sum and difference pattern synthesis;
Conference_Titel :
Radar Conference 2013, IET International
Conference_Location :
Xi´an
Electronic_ISBN :
978-1-84919-603-1
DOI :
10.1049/cp.2013.0448
