Published June 6, 2021
| public
Book Section - Chapter
Sliding-Capon Based Convolutional Beamspace for Linear Arrays
- Creators
- Chen, Po-Chih
- Vaidyanathan, P. P.
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.
Additional Information
© 2021 IEEE. This work was supported in parts by the ONR grant N00014-18-1-2390, the NSF grant CCF-1712633, and the California Institute of Technology.Additional details
- Eprint ID
- 109330
- DOI
- 10.1109/icassp39728.2021.9414022
- Resolver ID
- CaltechAUTHORS:20210601-150636010
- N00014-18-1-2390
- Office of Naval Research (ONR)
- CCF-1712633
- NSF
- Caltech
- Created
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2021-06-01Created from EPrint's datestamp field
- Updated
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2021-06-01Created from EPrint's last_modified field