Time delay estimator for frequency hopping system using rank-revealing triangular factorization

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Authors
Hiren, G.
Tayem, Nizar Abdel-Hafeeth Mohammad
Pendse, Ravi
Sawan, M. Edwin
Issue Date
2009-04-26
Type
Conference paper
Language
en_US
Keywords
Covariance matrix , Delay effects , Eigen values and eigen functions , Frequency estimation , Matrix decomposition , Multiple signal classification , Null space , Parameter estimation , Singular value decomposition
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Abstract

In this paper, the multipath time delay estimation (TDE) problem for a slow frequency hopping (SFH) system using rank revealing QR factorization method (RRQR) is considered. It gives precious information about numerical rank and null space. By applying the RRQR in association with the well-known MUSIC algorithm we achieved a highly efficient estimator. The proposed methods would generate estimates of the unknown delay parameters. Such estimates are based on the observation and/or covariance matrices. Moreover, the RRQR does not require the eigenvalue decomposition (EVD) of the cross-spectral matrix (CSM) or singular value decomposition (SVD) of the data matrix of received signals. Computer simulations are also included to demonstrate the effectiveness of the proposed method.

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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
Citation
Hiren, G.; Tayem, N.; Pendse, R.; Sawan, M.E.; , "Time Delay Estimator for Frequency Hopping System using Rank-Revealing Triangular Factorization," Vehicular Technology Conference, 2009. VTC Spring 2009. IEEE 69th , vol., no., pp.1-4, 26-29 April 2009 doi: 10.1109/VETECS.2009.5073886
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IEEE
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ISSN
1550-2252
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