Robust DOA estimation in the presence of mis-calibrated sensors
Ben Wang, Si Qin, Yimin D. Zhang, Moeness G. Amin
Abstract
In this paper, we consider robust direction-of-arrival (DOA) estimation for an array that contains mis-calibrated sensors with unknown gain and phase uncertainties. We develop two robust DOA estimation algorithms based on the maximum correntropy criterion (MCC). In the first algorithm, adaptively optimized weighting factors are obtained and applied to each sensor to effectively mitigate the effect of calibration error and array manifold distortions, and the results are fed into sparse reconstruction methods for DOA estimation. In the second algorithm, we further estimate the gain and phase errors of the mis-calibrated sensors so that the entire array is fully calibrated for improved DOA estimation. The effectiveness of the proposed techniques is verified using simulation results.
BibTeX
@inproceedings{icassp2017_robustdoaestimat,
title = {Robust DOA estimation in the presence of mis-calibrated sensors},
author = {Ben Wang and Si Qin and Yimin D. Zhang and Moeness G. Amin},
booktitle = {ICASSP 2017},
year = {2017}
}