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Sparsity-Aware Adaptive Directional Time–Frequency Distribution for Source Localization.
- Source :
-
Circuits, Systems & Signal Processing . Mar2018, Vol. 37 Issue 3, p1223-1242. 20p. - Publication Year :
- 2018
-
Abstract
- Multi-component characteristics and missing data samples introduce artifacts and cross-terms in quadratic time–frequency distributions, thus affecting their readability. In this study, we propose a new time–frequency method that employs directional smoothing and compressive sensing to reduce cross-terms and mitigate artifacts associated with missing samples. The efficacy of the proposed time–frequency distribution for solving real-life problems is illustrated by employing it to estimate direction of arrival of sparsely sampled sources in under-determined scenario. Numerical results show that the proposed method is superior to other state-of-the-art methods both in terms of obtaining clear time–frequency representation and accurately estimating direction of arrival. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 0278081X
- Volume :
- 37
- Issue :
- 3
- Database :
- Academic Search Index
- Journal :
- Circuits, Systems & Signal Processing
- Publication Type :
- Academic Journal
- Accession number :
- 127989644
- Full Text :
- https://doi.org/10.1007/s00034-017-0603-9