On the resolution of The LASSO-based DOA estimation method

Ashkan Panahi, M. Viberg
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引用次数: 14

Abstract

This paper investigates the consistency of the LASSO-based DOA estimation of the narrow-band signals in infinitely high SNR. Such a method provides a robust and accurate approximation of the Maximum Likelihood estimation. However, as we show, unlike the standard techniques such as subspace methods the LASSO-based estimation is generally not consistent in high SNRs. In return, considering the true DOA's, we show that the method is consistent for certain configuration of the sources. This approach leads us to relate such a conditional consistency to the resolution concept. We next give a condition to verify the consistency of a given set of directions and simplify it to a computationally fast equivalent algorithm. The results show that the resolution in infinitely high SNR case for m sensors decreases by speed 1 over m.
基于lasso的DOA估计方法的求解
研究了无限大信噪比条件下窄带信号基于laso的DOA估计的一致性。这种方法提供了最大似然估计的鲁棒性和准确性近似。然而,正如我们所示,与子空间方法等标准技术不同,基于lasso的估计在高信噪比下通常不一致。反过来,考虑到真实的DOA,我们证明了该方法对于源的某些配置是一致的。这种方法使我们将这种条件一致性与分辨率概念联系起来。然后给出了验证一组给定方向一致性的条件,并将其简化为计算速度快的等效算法。结果表明,在无限高信噪比情况下,m传感器的分辨率每m降低1倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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