Abstract
该文提出了一种基于线性电磁矢量阵列的空时极化平滑算法(STPSA),解决了相干信源的频率，2维波达方向和极化参数的联合估计问题。该算法通过对不同子阵和矢量传感器不同传感单元的测量数据及其相应延迟数据进行平滑，实现解相干预处理并抑制噪声干扰，然后利用传播算子方法得到相应的参数估计。与目前的算法相比，该文提出的算法能够同时实现相干信源的多个参数联合估计；无需通过奇异值或特征值分解提取信号/噪声子空间，也无须进行参数搜索，有较低的运算量；另外，算法能够通过增加相邻阵元的间隔来扩展阵列的有效孔径，改善估计性能，且无须进行参数去模糊处理。仿真结果验证了算法的有效性。
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