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Published June 6, 2021 | public
Book Section - Chapter

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.

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

Created:
August 20, 2023
Modified:
October 23, 2023