Sliding-Capon Based Convolutional Beamspace for Linear Arrays

Po-Chih Chen; P. P. Vaidyanathan

ICASSP 2021accepted0 citations

Sliding-Capon Based Convolutional Beamspace for Linear Arrays

Abstract

A new method to design the filter for convolutional beamspace (CBS), called Capon-CBS, is proposed. The idea is to design the filter to be a sliding Capon beamformer. Such design takes input statistics into account, so it can do a better job of suppressing the sources that fall in the stopband. Capon-CBS can offer higher probability of resolution and smaller mean square error for DOA estimation, as demonstrated in the simulations. Moreover, like traditional CBS, Capon-CBS also has the advantage of low computational complexity.

BibTeX

@inproceedings{icassp2021_slidingcaponbase,
  title = {Sliding-Capon Based Convolutional Beamspace for Linear Arrays},
  author = {Po-Chih Chen and P. P. Vaidyanathan},
  booktitle = {ICASSP 2021},
  year = {2021}
}