Title :
Integer coded genetic algorithm design of staggered sampling MTI
Author :
Tao, Huihong ; Liao, Guisheng ; Wang, Ling
Author_Institution :
Nat. Key Lab. of Radar Signal Process., Xidian Univ., Xi´´an, China
Abstract :
The stagger time-variant algorithm is an effective method to reject clutter and alleviate the blind speed problem. Selecting the suitable stagger-code to make the first notch shallow can avoid the lost of target. This paper presents a novel integer coded genetic algorithm (GA) to select the best stagger-code. By compared with other traditional algorithm, GA is a global stochastic searching method and can converge quickly. The simulation and performance analysis demonstrate the feasibility and validity of this algorithm.
Keywords :
genetic algorithms; radar clutter; sampling methods; search problems; stochastic processes; clutter rejection; fist notch; integer coded genetic algorithm; stagger time-variant algorithm; stochastic searching method; Algorithm design and analysis; Analytical models; Biological cells; Clutter; Genetic algorithms; Radar detection; Sampling methods; Signal processing algorithms; Signal sampling; Stochastic processes;
Conference_Titel :
Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
0-7803-7702-8
DOI :
10.1109/ICNNSP.2003.1279334
