部分极化条件下的极化对比度增强优化的快速方法（英文）

A Fast Method for the Optimization of Polarimetric Contrast Enhancement in Partially Polarized Condition

介绍了一种包含完全极化情形和部分极化情形在内的通用信号杂波噪声比(SCNR)模型。基于该模型,提出了一种适用于收发极化状态受约束的极化对比度增强优化(OPCE)的快速方法。该方法证明OPCE问题等价于某类线性代价函数的极值问题,且该类线性代价函数的极值问题的求解比OPCE问题的求解容易。从而构建了快速解决OPCE问题的方法。理论分析和数值实验验证了该方法的可靠性和高效性,与基于三步法的全局搜索方法(GSM)相比,该方法仅需要5%的计算时间。

A general signal to clutter plus noise ratio （SCNR） model containing the partially polarized condition is created. Based on this SCNR model, a fast method for the optimization of the polarimetric contrast enhancement （OPCE） problem with constrained transmitted and received polarization is proposed. The method proves the OPCE problem equivalent to the maximization of a linear cost function. The solving of the maximization of the function is simpler than that of the OPCE problem. Hence, the faster performance searching is achieved. The method is theoretically deduced. The numerical experiments demonstrate the effectiveness of this method. Compared with the conventional global search method （GSM） based on three-step method, the proposed method costs less than 5%of the calculation time.