Empirical Mode Decomposition based denoising for high resolution Direction of Arrival estimation

• DOI: 10.5281/zenodo.41699
• Publication Date: 2009-08-24
• Authors: Özgür Gültekin; Işın Erer; Mehmet Kaplan
• Keywords: Matrix (chemical analysis)

In this work, Empirical Mode Decomposition (EMD) is applied to the problem of Direction Arrival (DoA) estimation as a preprocessing method. The stage consists separate denoising rows array data matrix where each row corresponds output particular sensor. chosen algorithm an iterative interval-thresholding variant EMD. After stage, MUSIC construct EMD-enhanced spatial spectrum. proposed EMD-based scheme based on principles wavelet-thresholding, thus it comparable wavelet-based matrix. results show that, especially in low-SNR scenarios, performance significantly enhanced when prior DoA stage.