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Two-Dimensional DOA Estimation for Coherently Distributed Sources with Symmetric Properties in Crossed Arrays

机译:交叉阵列中具有对称特性的相干分布源的二维DOA估计

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摘要

In this paper, a novel algorithm is proposed for the two-dimensional (2D) central direction-of-arrival (DOA) estimation of coherently distributed (CD) sources. Specifically, we focus on a centro-symmetric crossed array consisting of two uniform linear arrays (ULAs). Unlike the conventional low-complexity methods using the one-order Taylor series approximation to obtain the approximate rotational invariance relation, we first prove the symmetric property of angular signal distributed weight vectors of the CD source for an arbitrary centrosymmetric array, and then use this property to establish two generalized rotational invariance relations inside the array manifolds in the two ULAs. Making use of such relations, the central elevation and azimuth DOAs are obtained by employing a polynomial-root-based search-free approach, respectively. Finally, simple parameter matching is accomplished by searching for the minimums of the cost function of the estimated 2D angular parameters. When compared with the existing low-complexity methods, the proposed algorithm can greatly improve estimation accuracy without significant increment in computation complexity. Moreover, it performs independently of the deterministic angular distributed function. Simulation results are presented to illustrate the performance of the proposed algorithm.
机译:本文提出了一种新算法,用于相干分布(CD)源的二维(2D)中心到达方向(DOA)估计。具体来说,我们专注于由两个均匀线性阵列(ULA)组成的中心对称交叉阵列。与使用一阶泰勒级数逼近来获得近似旋转不变性关系的常规低复杂度方法不同,我们首先证明了CD源的角信号分布权重矢量对于任意中心对称阵列的对称性质,然后使用该性质在两个ULA中的阵列歧管内部建立两个广义的旋转不变性关系。利用这种关系,分别通过采用基于多项式根的无搜索方法来获得中心仰角和方位角DOA。最后,通过搜索估计的二维角度参数的成本函数的最小值来实现简单的参数匹配。与现有的低复杂度方法相比,该算法可以在不显着增加计算复杂度的情况下极大地提高估计精度。此外,它的执行与确定性角分布函数无关。仿真结果表明了该算法的性能。

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