一种基于梯度免疫算法的参差MTI滤波器设计

A Stagger MTI Filter Design Based on Gradient Immune Algorithm

为了解决动目标检测过程中的盲速问题,通常采用参差周期法设计参差滤波器组来达到同时抑制杂波和推远盲速的效果。提出了一种基于梯度免疫算法的参差MTI滤波器优化设计。该算法利用免疫算法搜索最优参差码,有效地避免了传统遗传算法中的早熟问题。针对传统的遗传算法运算量较大的问题,引入了梯度算子缩小初始种群规模,使运算量大大减少。仿真结果验证了算法的可行性和有效性。

The stagger sampling filter based on stagger-period technique is generally used to suppress clutter and solve the blind velocity in moving target detection. A slipping stagger MTI filter based on Gradient Immune Algorithm is proposed. In the proposed filter,immune algorithm is utilized to search for the optimal stagger code to avoid the premature problem in the genetic algorithm. Besides,the gradient operator is introduced to reduce the initial population,thus resolving the great computational burden of the traditional genetic algorithm. Experimental results on optimal stagger code searching have demonstrated the feasibility and effectiveness of the proposed algorithm.