Two-Dimensional DOA Estimation for Polarization Sensitive Array Consisted of Spatially Spread Crossed-Dipole
Two-Dimensional DOA Estimation for Polarization Sensitive Array Consisted of Spatially Spread Crossed-Dipole
复制标题
空间分布交叉偶极子偏振敏感阵列的二维DOA估计
DOI：
10.1109/jsen.2018.2820168
复制
发表时间：
2018-06-15
影响因子：
4.3
通讯作者：
Zheng, Guimei
中科院分区：
文献类型：
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作者：
Zheng, Guimei
本文研究了偏振敏感阵列(PSA)的二维波达方向(DOA)估计问题，其中偏振矢量传感器由空间扩展交叉偶极子(SSCD)组成。众所周知，交叉偶极子矢量传感器可以获得包括HH、HV、VH、VV在内的所有偏振信息。因此，它是最流行的偏振矢量传感器之一。不幸的是，在现有的工作中，很难有效解决SSCD阵列的DOA估计问题。受此启发，本文提出了一种稀疏矩形SSCD-PSA来解决这个问题。首先，采用ESPRIT算法计算高精度但模糊方向余弦估计。其次，将数据协方差矩阵中的偏振信息纳入入射源，形成块稀疏信号模型，然后利用块正交匹配追踪得到粗参考方向余弦估计。最后，通过结合高精度但模糊的参考方向余弦估计和粗略的参考方向余弦估计，通过消歧过程可以获得最终精细的二维DOA估计。该算法在最低分量偏振矢量传感器下获得二维DOA估计，并保持了低互耦的优点。仿真结果证明了该算法的有效性和正确性。
This paper studies the problem of 2-D direction of arrival (DOA) estimation with polarization sensitive array (PSA), in which polarized vector sensor is consisted of spatially spread crossed-dipole (SSCD). It is well known that crossed-dipole vector sensor can obtain all the polarization information including HH, HV, VH, and VV. Consequently, it is one of the most popularly polarized vector sensor. Unfortunately, in the existing works, it is difficult to effectively solve the problem of DOA estimation with SSCD array. Motivated by this, this paper presents a sparse rectangular SSCD-PSA to solve this problem. First, the ESPRIT algorithm is adopted to calculate the high accuracy but ambiguous direction cosine estimation. Second, the polarization information in the data covariance matrix is incorporated into incident source to form a block sparse signal model, and then, the block orthogonal matching pursuit is used to get a coarse reference direction cosine estimation. At last, a finally fine 2-D DOA estimation can be obtained by disambiguation process using the combination of high accuracy but ambiguous and coarse reference direction cosine estimations. The proposed algorithm obtains the 2-D DOA estimation under the lowest components polarized vector sensor and keeps the advantage of low mutual coupling. The simulation results prove the effectiveness and correctness of the proposed algorithm.