Abstract
An improved MUSIC algorithm for direction-of-arrival estimation is introduced that accounts both for large array sizes N comparatively with the number of independent observations n and for the impulsiveness of the background environment (e.g., presence of outliers in the observations). This method derives from the spiked G-MUSIC algorithm proposed in [1] and from the recent works by one of the authors on the random matrix analysis of robust scatter matrix estimators [2]. The method is shown to be asymptotically consistent where classical approaches are not. This superiority is corroborated by simulations.
| Original language | English (US) |
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| Title of host publication | 2014 Proceedings of the 22nd European Signal Processing Conference, EUSIPCO 2014 |
| Publisher | European Signal Processing Conference, EUSIPCO |
| Pages | 2155-2159 |
| Number of pages | 5 |
| ISBN (Electronic) | 9780992862619 |
| State | Published - Nov 10 2014 |
| Event | 22nd European Signal Processing Conference, EUSIPCO 2014 - Lisbon, Portugal Duration: Sep 1 2014 → Sep 5 2014 |
Publication series
| Name | European Signal Processing Conference |
|---|---|
| ISSN (Print) | 2219-5491 |
Other
| Other | 22nd European Signal Processing Conference, EUSIPCO 2014 |
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| Country/Territory | Portugal |
| City | Lisbon |
| Period | 09/1/14 → 09/5/14 |
Bibliographical note
Publisher Copyright:© 2014 EURASIP.
Keywords
- MUSIC
- Random matrix theory
- elliptical distribution
- robust estimation
ASJC Scopus subject areas
- Signal Processing
- Electrical and Electronic Engineering