Frequency and power estimation of sinusoids using eigen-approach

Frequency and power estimation of sinusoidal signals, has captured the attention of researchers due to its important applications. This paper involves a frequency and power estimation method of unidentified number of source sinusoidal signals using Eigen technique. The eigenvector corresponding to t...

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Bibliographic Details
Published in:MATEC Web of Conferences 2019, Vol.272, p.1008
Main Authors: Mismar, M.J., Elissa, F.B.
Format: Article
Language:English
Subjects:
Correlation analysis
Eigenvalues
Eigenvectors
FIR filters
Polynomials
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Summary:Frequency and power estimation of sinusoidal signals, has captured the attention of researchers due to its important applications. This paper involves a frequency and power estimation method of unidentified number of source sinusoidal signals using Eigen technique. The eigenvector corresponding to the correlation matrix’s minimum eigenvalue yields the minimum power of the FIR filter’s output power. The corresponding roots are determined using the filter polynomial and root elimination technique is used to determine the pseudospectrum. Consequently, by deploying the pseudospectrum and filter polynomial, the real power spectrum is derived.
ISSN:2261-236X
2274-7214
2261-236X
DOI:10.1051/matecconf/201927201008