High resolution joint time delay and frequency estimation

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Authors
Heba, S.
Hiren, G.
Qasaymeh, Mahmoud Mohammad
Nizar, T.
Sawan, M. Edwin
Pendse, Ravi
Issue Date
2009-03-30
Type
Conference paper
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en_US
Keywords
Delay and Frequency estimation , Music , Root-Music , Unitary ESPRIT rank-revealing QR factorization , Covariance matrix , Matrix decomposition
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Abstract

Joint Time Delay and Frequency Estimation (JTDFE) problem of complex sinusoidal signals received at two separated sensors is an attractive problem that has been studied for many engineering applications. In this paper, the Rank-Revealing QR factorization is applied to the real data matrix obtained via the unitary transformation of the square Toeplitz complex data matrix. Then the MUSIC spectrum estimation function is used to estimate the frequencies. The time delay is estimated by applying RRQR to the complex data matrix. The unitary transformation from complex to real would reduce the processing time of frequency estimation by almost a factor of four, since the cost of complex manipulations is four times the real manipulations. Also RRQR is an important tool in numerical linear algebra because it provides accurate information about rank and numerical null space. The simulation results validate the performance 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
Heba, S.; Hiren, G.; Qasaymeh, M.M.; Nizar, T.; Sawan, M.E.; Pendse, R.; , "High resolution Joint Time Delay and Frequency Estimation," Sarnoff Symposium, 2009. SARNOFF '09. IEEE , vol., no., pp.1-4, March 30 2009-April 1 2009 doi: 10.1109/SARNOF.2009.4850312
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IEEE
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