| Paper ID | SAM-1.3 |
| Paper Title |
A PARTIALLY-RELAXED ROBUST DOA ESTIMATOR UNDER NON-GAUSSIAN LOW-RANK INTERFERENCE AND NOISE |
| Authors |
Minh Trinh-Hoang, Technical University of Darmstadt, Germany; Mohammed Nabil El Korso, Paris-Nanterre University, France; Marius Pesavento, Technical University of Darmstadt, Germany |
| Session | SAM-1: Direction of Arrival Estimation 1 |
| Location | Gather.Town |
| Session Time: | Tuesday, 08 June, 16:30 - 17:15 |
| Presentation Time: | Tuesday, 08 June, 16:30 - 17:15 |
| Presentation |
Poster
|
| Topic |
Sensor Array and Multichannel Signal Processing: [SAM-DOAE] Direction of arrival estimation and source localization |
| IEEE Xplore Open Preview |
Click here to view in IEEE Xplore |
| Virtual Presentation |
Click here to watch in the Virtual Conference |
| Abstract |
In practical applications, non-Gaussianity of the signal at the sensor array is detrimental to the performance of conventional Direction-of-Arrival (DOA) estimators developed under the Gaussian model. In this paper, we propose a novel robust DOA estimator from the data collected at the sensor array under the corruption of non-Gaussian interference and noise. Additionally, the Cramer-Rao bound for DOA parameters under the considered signal model is derived. Simulation results show that the proposed estimator exhibits near-optimal estimation performance under the assumed model while being robust to model mismatch and/or the presence of outliers. |
