Journal article
Quadratically Constrained Minimum Dispersion Beamforming via Gradient Projection
Abstract
A quadratically constrained minimum dispersion (QCMD) beamformer that is robust against model uncertainties is devised for non-Gaussian signals. Different from the minimum variance based beamformers, the QCMD beamformer minimizes the lp-norm (p ≥ 1) of the output while constraining the magnitude response of any steering vector within a spherical uncertainty set to exceed unity. A gradient projection algorithmic framework is proposed to …
Authors
Jiang X; Zeng W-J; Yasotharan A; So HC; Kirubarajan T
Journal
IEEE Transactions on Signal Processing, Vol. 63, No. 1, pp. 192–205
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
DOI
10.1109/tsp.2014.2367464
ISSN
1053-587X