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Improving the Performance of the Capon Algorithm by Nulling Elements of an Inverse Covariance Matrix  

Kim, Seong-Min (Department of Electronics and Computer Engineering, Chungnam National University)
Kang, Dong-Hoon (Department of Electronics and Computer Engineering, Chungnam National University)
Lee, Yong-Wook (Department of Electronics and Computer Engineering, Chungnam National University)
Nah, Sun-Phil (ADD)
Oh, Wang-Rok (Department of Electronics and Computer Engineering, Chungnam National University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.48, no.5, 2011 , pp. 96-101 More about this Journal
Abstract
It is well known that the Capon algorithm offers better resolution compared to that of the FM (Fourier method) algorithm by minimizing the total output power while maintaining a constant gain in the look direction. Unfortunately, the DoA (Direction of Arrival) estimation performance of the Capon algorithm is drastically degraded when the SNR of received signal is low and thus, it cannot distinguish among signal sources which have similar incidence angles. In this paper, we propose a novel scheme enhancing the resolution of the Capon algorithm by ing all rows except the first row of an inverse covariance matrix.
Keywords
Capon; Beamforming; Resolution; Inverse covariance matrix;
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