低信噪比区域信号AoA检测的精确迭代算法

O. Bolkhovskaya, A. Maltsev, V. Sergeev, W. Keusgen, M. Peter
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引用次数: 0

摘要

将广义似然比检验(GLRT)方法应用于多单元天线阵中未知信号的联合检测和到达角估计。考虑了具有未知时间结构的平面波前信号的功率和AoA的最大似然估计的直接方法。提出了一种有效的迭代方法来实现这种方法。在迭代的最后一步采用Neumann-Pearson准则检测有用信号,并通过仿真计算决策统计的阈值。将所提出的联合检测估计迭代算法与基于样本相关矩阵特征向量和特征值分析的三步算法的性能特征进行了比较。研究发现,在高信噪比区域,本文提出的迭代算法和三步算法的精度基本达到了低crb,但在低信噪比区域和小样本量下,迭代算法在35% ~ 50%的位置优于三步算法的精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Accurate Iterative Algorithm for Detection and the Signal AoA Estimation in Low SNR Region
The GLRT (Generalized Likelihood Ratio Test) method is applied for joint detection and the angle-of-arrive (AoA) estimation of an unknown signal in multi-element antenna arrays. The direct method of the maximum likelihood (ML) estimation of the power and the AoA of a signal with a plane wavefront and unknown temporal structure is considered. An efficient iterative procedure is proposed for implementation of this approach. For the useful signal detection the Neumann-Pearson criterion is applied at the final iteration step and the threshold value for the decision statistics is calculated by simulations. The performance characteristics of the proposed joint detection-estimation iterative algorithm are compared with three-step algorithm, which based on the sample correlation matrix eigenvectors and eigenvalues analysis. It was found that in high SNR region the accuracies of the proposed iterative algorithm and the three-step algorithm practically reach the low CRBs, but in low SNR region and the short sample sizes the iterative algorithm at 35% - 50% over performs the accuracy of the three-step algorithm.
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