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Proceedings Paper

Super-resolution direction finding with an auxiliary-vector basis
Author(s): Rohan Grover; Dimitris A. Pados; Michael J. Medley
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Paper Abstract

We develop a new direction-of-arrival (DOA) estimation procedure that utilizes a modified version of the orthogonal auxiliary-vector (AV) filtering algorithm. The procedure starts with the linear transformation of the array response scanning vector by the input autocorrelation matrix. Then, successive orthogonal maximum cross-correlation auxiliary vectors are calculated to form a basis of the scanner-extended signal subspace. As a performance evaluation example, our studies for uncorrelated sources demonstrate a gain in the order of 15dB over MUSIC, 7dB over ESPRIT, and 3dB over the grid-search maximum likelihood DOA estimator at probability of resolution 0.9 with a ten-element array and reasonably small observation data records. A reduced complexity version of the proposed DOA estimation algorithm is also suggested. Results for correlated sources are reported as well.

Paper Details

Date Published: 2 June 2005
PDF: 9 pages
Proc. SPIE 5819, Digital Wireless Communications VII and Space Communication Technologies, (2 June 2005); doi: 10.1117/12.606402
Show Author Affiliations
Rohan Grover, State Univ. of New York at Buffalo (United States)
Dimitris A. Pados, State Univ. of New York at Buffalo (United States)
Michael J. Medley, Air Force Research Lab. (United States)


Published in SPIE Proceedings Vol. 5819:
Digital Wireless Communications VII and Space Communication Technologies
Rabindra Singh; Raghuveer M. Rao; Sohail A. Dianat; Michael D. Zoltowski, Editor(s)

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