High Resolution DOA Estimation for Contiguous Target with Large Power Difference

Murtiza Ali, K. Nathwani
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引用次数: 1

Abstract

The Direction of arrival (DOA) for contiguous targets with a significant power difference, with fewer sensors and snapshots, is a challenging task. Our earlier work based on Modified Group delay-ℓ1-SVD [1] can correctly resolve contiguous targets with fewer sensors. The weights in Modified Group delay ℓ1-SVD were computed using the Hadamard product of MUSIC and Group delay (GD) weights. However, a significant power difference between the targets results in degraded performance. This is due to the incorrect MUSIC weights, which result in poor spatial resolution for contiguous targets with a significant power difference. Re-weighting the ℓ1-SVD with Capon-MUSIC and Capon-MUSIC GD weights helps estimate DOAs with a high spatial resolution at fewer sensors. Average-Root-Mean-Square-Error (ARMSE) and Resolution Probability are used to evaluate the performance of the proposed methods.
大功率差连续目标的高分辨率DOA估计
在传感器和快照较少的情况下,具有显著功率差异的连续目标的到达方向(DOA)是一项具有挑战性的任务。我们先前基于修正群延迟- 1- svd[1]的工作可以用较少的传感器正确地解析连续目标。利用MUSIC与群延迟(GD)权值的Hadamard积,计算了改进群延迟(l_1 - svd)中的权值。但是,目标之间的显著功率差异会导致性能下降。这是由于不正确的MUSIC权重,导致具有显著功率差异的连续目标的空间分辨率较差。用Capon-MUSIC和Capon-MUSIC GD权值对l1 - svd重新加权,有助于在较少传感器的情况下以高空间分辨率估计doa。使用平均均方根误差(ARMSE)和分辨率概率来评估所提出方法的性能。
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