最陡下降算法在MTD滤波器设计中的应用

Applications of Steepest Descent Arithmetic in Designing the MTD filters

  • 摘要: 针对雷达中动目标检测技术中滤波器组设计,从普遍采用基于最小最大化的优化原则出发提出了一种改进优化原则。该方法具有明确物理含义,即是使输出杂波功率最小,从而使得优化问题简化为最小化目标函数,大大简化了MTD滤波器设计中优化问题的求解难度。文中采用最陡下降算法求解该问题,通过计算机仿真,可以看到该方法与原来采用方法具有相似的结果,为工程应用提供了一种简单、实用的方法。

     

    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.

     

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