基于蚁群算法的动目标显示参差码优化设计

Optimal design for MTI stagger code based on ant colony algorithm

提出了一种基于蚁群算法的动目标显示(MTI)参差码优化设计方法。该方法在保证最大参差比不大于允许值和盲速扩展倍数大于第一盲速点对应扩展倍数的前提下,采用蚁群算法搜索最优参差码,使得参差MTI滤波器第一凹口的深度尽可能浅,通带尽可能平坦,因此,在抑制杂波的同时减小了目标损失。MTI参差码设计是一种组合优化问题,蚁群算法非常适合于解决这种问题。设计实例和性能分析验证了该设计方法的可行性和有效性。

The optimal design method for moving target indication（MTI） stagger code based on ant colony algorithm（ACA） is presented. Under the conditions that the maximum stagger ratio is less than or equal to the allowed value and the expansion multiple of blind speed is greater than that corresponding to the first blind speed, the ACA is used to search the optimal stagger code which makes the first notch depth of the stagger MTI filter as shallow as possible and the pass-band as flat as possible, so the target loss decreases when the clutter is supressed. The MTI stagger code design is a kind of combinatorial optimization problem, and the ACA is very suitable for solving this kind of problem. The provided design examples and performance analysis demonstrate the feasibility and validity of the design method.