稀疏极化敏感阵列的波达方向和极化参数联合估计

该文采用稀疏分布极化敏感阵列(SD-PSA)，研究了多目标波达方向(DOA)和极化参数的估计问题。首先建立稀疏极化敏感阵列信号模型；然后利用阵列的空间旋转不变性运用ESPRIT算法得出信号的高精度周期性模糊多值DOA估计；同时利用子阵列导向矢量之间的关系得出信号的极化信息和DOA的无模糊粗估计；最后利用DOA粗估计值解模糊，得到信号的高精度无模糊DOA估计。该文所提阵列的阵元间距大于半个波长距离，扩展了阵列2维物理孔径，一定程度上降低了阵元间的互耦影响，相应的信号DOA估计精度大大提高。仿真实验结果验证了该算法对信号DOA和极化参数估计的有效性。

Joint DOA and Polarization Estimation with Sparsely Distributed Polarization Sensitive Array

This paper studies the multiple targets Direction Of Arrival (DOA) and polarization parameter estimation problem based on the Sparsely Distributed Polarization Sensitive Array (SD-PSA). First of all, the signal model of SD-PSA is set up. Then, by utilizing the space rotational invariance of the proposed array the Estimation of Signal Parameters via Rotational Invariance Techniques (ESPRIT) algorithm is adopted to calculate the signals periodic ambiguous but high accuracy DOA estimation. Meanwhile, polarization information and the coarse DOA estimation are derived using the relationship between the sub arrays steering vector of the signals. Finally, using the coarse DOA estimation data, the fine and unambiguous estimates of DOA are obtained. In this paper, the adjacent array elements spacing of the proposed array is beyond half wavelength of the signal, thus the array extends the two-dimensional physical aperture and reduces the mutual coupling effects to a degree. Accordingly the DOA estimation precision is greatly increased. The simulation results of the algorithm verify the effectiveness of the DOA and polarization estimation.