低复杂度相干分布源中心DOA估计方法
Low-complexity Method for the Central DOA Estimation of Coherently Distributed Sources
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摘要: 传统的相干分布源波达方向(DOA)估计方法一般都需要谱搜索或对高维样本协方差矩阵进行特征分解,计算复杂度较高。针对上述问题,本文利用均匀线阵提出了一种低复杂度相干分布源中心波达方向估计方法。所提方法利用了平移阵列的旋转不变性质并结合传播算子法来估计分布源的中心波达方向。相比于常规子空间方法,本方法无需任何谱峰搜索和对样本协方差矩阵进行特征分解,计算复杂度更低。方法在小角度扩展条件下的估计性能良好,其性能甚至接近于DSPE算法。而且方法与分布源角分布的具体形式无关,是一种盲的估计。仿真结果证实了方法的有效性。Abstract: The traditional methods for the direction-of-arrival (DOA) estimation of coherently distributed (CD) sources generally need perform a grid searching or the eigendecomposition of the high-dimensional sample covariance matrix, and the computational complexities of them are obviously higher. Aiming at the problem mentioned above, this paper proposes a low-complexity estimation method for the central DOA of CD sources by using uniform linear array (ULA). The proposed method estimates the central DOAs of distributed sources by combining the rotational invariance property of shifted array with propagator method. The method need not any peak-finding searching and the eigendecomposition of the sample covariance matrix, thus it provides a lower computational complexity compared to the classical subspace methods. The method has good estimation performance under small angular spread condition and its performance approaches greatly distributed signal parameter estimator (DSPE) algorithm. And it is also a blind estimator, which does not depend practically on the specific angular distribution shapes of distributed sources. Simulation results show that the proposed method is effective.