Abstract: 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.