19 July 2013 Implementation of QR-decomposition based on CORDIC for unitary MUSIC algorithm
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Proceedings Volume 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013); 88784L (2013) https://doi.org/10.1117/12.2031772
Event: Fifth International Conference on Digital Image Processing, 2013, Beijing, China
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.
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Merwan Lounici, Merwan Lounici, Xiaoming Luan, Xiaoming Luan, Wahab Saadi, Wahab Saadi, } "Implementation of QR-decomposition based on CORDIC for unitary MUSIC algorithm", Proc. SPIE 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013), 88784L (19 July 2013); doi: 10.1117/12.2031772; https://doi.org/10.1117/12.2031772
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