JOURNAL ARTICLE

Joint Time Delay and Frequency Estimation Without Eigen-Decomposition

M. M. QasaymehGami HirenNizar TayemM.E. SawanRavi Pendse

Year: 2009 Journal:   IEEE Signal Processing Letters Vol: 16 (5)Pages: 422-425   Publisher: Institute of Electrical and Electronics Engineers

Abstract

In this letter, we addressed the problem of estimating the time delay and the frequencies of noisy sinusoidal signals received at two spatially separated sensors. We employ the Propagator Method (PM) in conjunction with the well-known MUSIC/root-MUSIC algorithm; the proposed method would generate estimates of the unknown parameters. Such estimates are based on the observation and/or covariance matrices. Moreover, the PM does not require the eigenvalue decomposition (EVD) or singular value decomposition (SVD) of the cross-spectral matrix (CSM) of received signals; therefore, a significant improvement in computational load is achieved. Computer simulations are also included to demonstrate the effectiveness of the proposed method.

Keywords:
Singular value decomposition Algorithm Eigenvalues and eigenvectors Matrix decomposition Eigendecomposition of a matrix Computer science Covariance matrix Decomposition Matrix (chemical analysis) Propagator Time–frequency analysis Mathematics Applied mathematics Mathematical optimization Speech recognition Filter (signal processing) Computer vision

Metrics

15
Cited By
1.74
FWCI (Field Weighted Citation Impact)
13
Refs
0.86
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Direction-of-Arrival Estimation Techniques
Physical Sciences →  Computer Science →  Signal Processing
Indoor and Outdoor Localization Technologies
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Speech and Audio Processing
Physical Sciences →  Computer Science →  Signal Processing

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