最陡下降算法在MTD濾波器設(shè)計(jì)中的應(yīng)用

針對(duì)雷達(dá)中動(dòng)目標(biāo)檢測(cè)技術(shù)中濾波器組設(shè)計(jì)，從普遍采用基于最小最大化的優(yōu)化原則出發(fā)提出了一種改進(jìn)優(yōu)化原則。該方法具有明確物理含義，即是使輸出雜波功率最小，從而使得優(yōu)化問(wèn)題簡(jiǎn)化為最小化目標(biāo)函數(shù)，大大簡(jiǎn)化了MTD濾波器設(shè)計(jì)中優(yōu)化問(wèn)題的求解難度。文中采用最陡下降算法求解該問(wèn)題，通過(guò)計(jì)算機(jī)仿真，可以看到該方法與原來(lái)采用方法具有相似的結(jié)果，為工程應(yīng)用提供了一種簡(jiǎn)單、實(shí)用的方法。
關(guān) 鍵 詞 動(dòng)目標(biāo)檢測(cè); 最小最大化; 濾波器設(shè)計(jì); 最陡下降算法

Abstract A new improved optimization method is promoted based on common minimum-maximum principle for implementation of the filter bank of MTD radar. This new method has clearly physical signification, which is to minimize the output power of the clutter. In this way, it can change the optimization function to a minimal function. It reduces the complexity of solution the optimization problem. In this paper, the steepest descent arithmetic is used. The computer simulations results show that it is approximate to the common ones. The new method is a viable way in engineering applications.
Key words MTD minimum-maximum filter-design; steepest; descent; arithmetic