Paper ID | SAM-8.5 | ||
Paper Title | SLIDING-CAPON BASED CONVOLUTIONAL BEAMSPACE FOR LINEAR ARRAYS | ||
Authors | Po-Chih Chen, P. P. Vaidyanathan, California Institute of Technology, United States | ||
Session | SAM-8: Detection and Estimation 2 | ||
Location | Gather.Town | ||
Session Time: | Thursday, 10 June, 16:30 - 17:15 | ||
Presentation Time: | Thursday, 10 June, 16:30 - 17:15 | ||
Presentation | Poster | ||
Topic | Sensor Array and Multichannel Signal Processing: [SAM-DOAE] Direction of arrival estimation and source localization | ||
IEEE Xplore Open Preview | Click here to view in IEEE Xplore | ||
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. |