Super-resolution Method for Coherent DOA Estimation of Multiple Wideband Sources
Milad Javadzadeh Jirhandeh, Mohammad Hossein Kahaei

TL;DR
This paper introduces a super-resolution method for coherent DOA estimation of multiple wideband sources, utilizing a novel focusing technique and atomic norm minimization to improve accuracy and noise robustness with minimal snapshots.
Contribution
A new focusing method and atomic norm framework for coherent wideband DOA estimation that does not require initial DOA estimates and enhances resolution and noise robustness.
Findings
Outperforms conventional methods in simulations.
Requires only one snapshot per frequency subband.
Provides higher resolution and robustness to noise.
Abstract
We focus on coherent direction of arrival estimation of wideband sources based on spatial sparsity. This area of research is encountered in many applications such as passive radar, sonar, mining, and communication problems, in which an increasing attention has been devoted to improving the estimation accuracy and robustness to noise. By the development of super-resolution algorithms, narrowband direction of arrival estimation based on gridless sparse algorithms and atomic norm minimization has already been addressed. In this paper, a superresolution based method is proposed for coherent direction of arrival estimation of multiple wideband sources. First, unlike the conventional coherent methods, we develop a new focusing method to map the subband with the largest center frequency to the other ones, which leads to an accurate method with no requirement for initial estimates for DOAs.…
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