摘要
参差时变动目标显示 (MTI)滤波器是在强运动杂波背景下检测弱目标和缓解盲速问题的一种有效方法 .选择适当参差码使参差时变MTI滤波器的第一零点尽可能浅 ,可在有效抑制杂波的同时避免陷入其中的弱目标丢失 .本文采用了结合梯度的混合遗传算法 (HGA)选择最优参差码 ,与标准遗传算法 (SGA)相比 ,该算法只需要很小的种群规模 .采用马尔可夫链方法证明了HGA是以概率 1收敛的全局随机搜索算法 .将该算法应用于米波雷达中 ,性能分析和仿真实验表明 。
The optimal stagger time-variant MTI filter is an effective method to detect weak target in strong moving clutter and alleviate the blind speed problem. Selecting the suitable stagger-code to make the nadir as low as possible can efficiently suppress clutter while avoiding the loss of the weak target in it. The paper presents a hybrid genetic algorithm (HGA) based on gradient to select the optimal stagger-code. A further result on the Markov chain model of HGA shows that it is a global stochastic searching method and can converge with probability one. Compared with standard genetic algorithm (SGA), HGA has low complexity and requires small population size. We apply it in the area of metric-wave radar. The simulation experiments and performance demonstrate that the design method of clutter resistance filter based on HGA is feasible and valid.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2004年第12期2086-2089,共4页
Acta Electronica Sinica
基金
高等学校博士学科点专项科研基金
武器装备预研基金 (No .51 4 0 70 30 1 0 1DZ0 1 2 0 )
关键词
混合遗传算法
杂波抑制
弱目标检测
类似梯度
参差码
第一零点
Binary codes
Computer simulation
Digital filters
Genetic algorithms
Interference suppression
Markov processes
Mathematical models
Optimization
Probability
Radar clutter
