Inter-atom Interference Mitigation for Sparse Signal Reconstruction Using Semi-blindly Weighted Minimum Variance Distortionless Response

TL;DR

This paper introduces a semi-blindly weighted MVDR method to reduce inter-atom interference in sparse signal reconstruction, demonstrating improved performance over traditional OMP in direction of arrival estimation.

Contribution

The paper proposes a novel SBWMVDR approach that effectively mitigates inter-atom interference, enhancing sparse signal reconstruction accuracy.

Findings

SBWMVDR outperforms ordinary OMP in DOA estimation

Improved reconstruction accuracy with the proposed method

Effective mitigation of inter-atom interference

Abstract

The feasibility of sparse signal reconstruction depends heavily on the inter-atom interference of redundant dictionary. In this paper, a semi-blindly weighted minimum variance distortionless response (SBWMVDR) is proposed to mitigate the inter-atom interference. Examples of direction of arrival estimation are presented to show that the orthogonal match pursuit (OMP) based on SBWMVDR performs better than the ordinary OMP algorithm.