Proceedings Paper
Performance analysis of the subspace-based DOA estimator in the presence of unknown noise| Format | Member Price | Non-Member Price |
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Paper Abstract
A high resolution DOA estimation technique in the presence of noise with unknown covariance matrix has been provided. This method provides high resolution at a reasonable computational burden. In this paper, a performance analysis of the DOA estimates obtained by this technique is provided using perturbation theory. Simulation results are presented to compare with the theoretical results. They show very good agreement.
Paper Details
Date Published: 1 November 1993
PDF: 12 pages
Proc. SPIE 2027, Advanced Signal Processing Algorithms, Architectures, and Implementations IV, (1 November 1993); doi: 10.1117/12.160466
Published in SPIE Proceedings Vol. 2027:
Advanced Signal Processing Algorithms, Architectures, and Implementations IV
Franklin T. Luk, Editor(s)
PDF: 12 pages
Proc. SPIE 2027, Advanced Signal Processing Algorithms, Architectures, and Implementations IV, (1 November 1993); doi: 10.1117/12.160466
Show Author Affiliations
Yifeng Zhou, McMaster Univ. (Canada)
Patrick C. Yip, McMaster Univ. (Canada)
Published in SPIE Proceedings Vol. 2027:
Advanced Signal Processing Algorithms, Architectures, and Implementations IV
Franklin T. Luk, Editor(s)
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