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Polarization radar target recognition based on curve fitting under the least square criterion using improved simulated annealing algorithm

机译:基于使用改进的模拟退火算法的曲线拟合基于曲线拟合的偏振雷达目标识别

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摘要

The conception of PSD (polarization states' distance) is presented to describe the dynamic characteristic of radar target's polarization structure in the frequency domain on the polarimetric and high-resolution radar system. An improved simulated annealing algorithm is presented to estimate the global optimal parameters of fitting curves of target's dynamic distribution. On this basis, a recognition experiment has been made on four kinds of aircraft, and good results are achieved.
机译:提出了PSD的概念(偏振状态'距离)以描述偏振和高分辨率雷达系统上频域中雷达目标的偏振结构的动态特性。提出了一种改进的模拟退火算法来估计目标动态分布的拟合曲线的全局最优参数。在此基础上,在四种飞机上进行了识别实验,实现了良好的结果。

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