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Rank revealing QR factorization for jointly time delay and frequency estimation
Qasaymeh, Mahmoud Mohammad Hiren, G. Nizar, T. Pendse, Ravi Sawan, M. Edwin
Qasaymeh, Mahmoud Mohammad
Hiren, G.
Nizar, T.
Pendse, Ravi
Sawan, M. Edwin
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Authors
Qasaymeh, Mahmoud Mohammad
Hiren, G.
Nizar, T.
Pendse, Ravi
Sawan, M. Edwin
Hiren, G.
Nizar, T.
Pendse, Ravi
Sawan, M. Edwin
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Digitization Date
Issue Date
2009-04-26
Type
Conference paper
Genre
Keywords
Computational efficiency,Eigenvalues and eigen functions,Frequency estimation,Linear algebra,Matrix decomposition,Multiple signal classification,Parameter estimation,Singular value decomposition
Subjects (LCSH)
Citation
Qasaymeh, M.M.; Hiren, G.; Nizar, T.; Pendse, R.; Sawan, M.E.; , "Rank Revealing QR Factorization for Jointly Time Delay and Frequency Estimation," Vehicular Technology Conference, 2009. VTC Spring 2009. IEEE 69th , vol., no., pp.1-4, 26-29 April 2009 doi: 10.1109/VETECS.2009.5073825
Abstract
The rank-revealing QR factorization (RRQR) is a valuable tool in numerical linear algebra because it provides accurate information about rank and numerical null-space. In this paper, we addressed the problem of estimating the time delay and the frequencies of noisy sinusoidal signals received at two spatially separated sensors using the well known RRQR, subspace decomposition technique. Although eigenvalue decomposition (EVD) of cross spectral matrix or singular value decomposition SVD for the data matrix based techniques provide accurate estimation, they are hard to meet real time constraints due to computational load and cost. To explore compatibility with real time applications, we proposed a RRQR method in association with the well-known MUSIC/root-MUSIC algorithm to estimate unknown parameters without using any EVD or SVD. The simulation results verify that the proposed method provide better performance than the well known EVD or SVD based methods with less computational complexity.
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The full text of this article is not available on SOAR. WSU users can access the article via IEEE Xplore database licensed by University Libraries: http://libcat.wichita.edu/vwebv/holdingsInfo?bibId=1045954
Publisher
IEEE
Journal
Book Title
Series
Vehicular Technology Conference, 2009. VTC Spring 2009. IEEE 69th;vol., no., pp.1-4, 26-29
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DOI
ISSN
1550-2252