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Proceedings Paper

Implementation of QR-decomposition based on CORDIC for unitary MUSIC algorithm
Author(s): Merwan Lounici; Xiaoming Luan; Wahab Saadi
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Paper Abstract

The DOA (Direction Of Arrival) estimation with subspace methods such as MUSIC (MUltiple SIgnal Classification) and ESPRIT (Estimation of Signal Parameters via Rotational Invariance Technique) is based on an accurate estimation of the eigenvalues and eigenvectors of covariance matrix. QR decomposition is implemented with the Coordinate Rotation DIgital Computer (CORDIC) algorithm. QRD requires only additions and shifts [6], so it is faster and more regular than other methods. In this article the hardware architecture of an EVD (Eigen Value Decomposition) processor based on TSA (triangular systolic array) for QR decomposition is proposed. Using Xilinx System Generator (XSG), the design is implemented and the estimated logic device resource values are presented for different matrix sizes.

Paper Details

Date Published: 19 July 2013
PDF: 5 pages
Proc. SPIE 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013), 88784L (19 July 2013); doi: 10.1117/12.2031772
Show Author Affiliations
Merwan Lounici, Harbin Engineering Univ. (China)
Xiaoming Luan, Harbin Engineering Univ. (China)
Wahab Saadi, Harbin Engineering Univ. (China)


Published in SPIE Proceedings Vol. 8878:
Fifth International Conference on Digital Image Processing (ICDIP 2013)
Yulin Wang; Xie Yi, Editor(s)

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