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本文提出了一种稀疏均匀非同心电磁矢量传感器矩形阵列,针对该阵列提出了一种二维波达方向(2D-DOA)和极化参数的联合估计算法.首先利用稀疏均匀矩形阵列的旋转不变性得到周期性模糊的2D-DOA估计,然后提出一种简易的非同心电磁矢量传感器的2D-DOA估计算法来解模糊,再通过一些三角变换得到高精度无模糊的2D-DOA和极化参数估计,最后推导了该阵列多参量估计的闭式克拉美罗界.本文所提阵列的稀疏配置使得在不增加阵元数和硬件复杂度情况下有效扩展了阵列物理孔径,且由于矢量传感器的使用获得了极化分集,使得2D-DOA的估计精度大大增加.此外本文方法能得到2D-DOA和极化参数之间的自动配对,更为重要的是该阵列使用非同心电磁矢量传感器构成,解决了同心电磁矢量传感器互耦严重、硬件设计困难的问题.仿真结果证明了本文多参量估计算法的有效性.
In this paper, a sparse uniform non-concentric electromagnetic vector sensor rectangular array is proposed, and a 2D DOA and polarization parameter joint estimation algorithm is proposed for the array.Firstly, by using sparse uniform rectangular array rotation Then, a 2D-DOA estimation algorithm of non-concentric electromagnetic vector sensor is proposed to solve the ambiguity. Then some triangular transformations are used to obtain high-precision and unambiguous 2D-DOA and polarization parameters It is estimated that the closed-form clarithromic in the multi-parameter estimation of the array is finally deduced.The sparse configuration of the array proposed in this paper effectively extends the array physical aperture without increasing the number of elements and the hardware complexity, The polarization diversity is used to greatly increase the estimation accuracy of 2D-DOA.In addition, the method of this paper can automatically match 2D-DOA and polarization parameters, and more importantly, the array is composed of non-concentric electromagnetic vector sensors, The problem of mutual coupling of the concentric electromagnetic vector sensor and hard hardware design is solved.The simulation results prove the effectiveness of the multi-parameter estimation algorithm in this paper.