基于多参数约束的MTD滤波器迭代优化设计

An Iterative Optimization Method for MTD Filter Design Based on Multi-parameter Constraints

动目标检测(MTD)滤波器作为动目标检测雷达的核心部件,其杂波抑制性能将对雷达动目标探测能力起着决定性的影响。文中同时考虑滤波器期望频率响应和信噪比增益,通过构建多参数约束条件,在满足阻带衰减、零陷深度和杂波宽度的条件下,提出MTD滤波器组的迭代优化设计算法。首先固定滤波器通带宽度,将优化问题转换为二次规划凸问题,再通过二分法迭代求解出满足基本设计条件的最小通带宽度滤波器。设计实例表明:所提算法在不同杂波环境下均具备较高的鲁棒性,尤其当杂波与通带存在重合区域时,所设计的滤波器性能更加优越。

As the core component of MTD radar,the clutter suppression performance of MTD filter will have a decisive impact on the radar detection ability to moving target.In this paper,considering the expected frequency response and signal-to-noise gain of the filter,an iterative optimization algorithm for MTD filters is proposed under the conditions of stopband attenuation,null depth,and clutter width.First,the optimization problem is transformed into a quadratic programming convex problem through fixing the passband width of the filter,and then the minimum passband width filter is solved by dichotomy iteration.Design examples show that the proposed algorithm has high robustness in different clutter environments,especially when the clutter and passband overlap,the designed filter performs better.