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Efficient methods for estimating sinusoidal frequencies using line spectral pairs
Published in Institute of Electrical and Electronics Engineers Inc.
2019
Abstract
The maximum likelihood (ML) method of estimating the frequencies of p sinusoids in the presence of AWGN is computationally very costly because of the dimensionality of the error surface; the advantage is that the ML method has the lowest threshold among all known practical estimators. We propose a low complexity method using Line Spectral Pairs (LSPs), where the LSPs are derived from an estimated A(z) obtained using Multiple Signal Classification (MUSIC) method. The proposed method evaluates the likelihood function at significantly fewer number of points-at most 5p C- p -for getting the estimates. Furthermore, no iterative finer search is required. Nevertheless, the proposed method's threshold is comparable to that of ML when tested using the well-known two-sinusoids example; similar performance was observed in the case of three sinusoids. Further improvements were observed when the beamformer function was used for detecting and removing outliers. For the two-sinusoid case, outlier removal resulted in a threshold that was lower than that of ML by as much as 9 dB (3π/2 case). We also present results for a direction of arrival (DOA) estimation example that results in the same threshold as that of ML. © 2019 IEEE.
About the journal
JournalData powered by Typeset25th National Conference on Communications, NCC 2019
PublisherData powered by TypesetInstitute of Electrical and Electronics Engineers Inc.
Open AccessNo
Concepts (12)
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    Frequency estimation
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    Maximum likelihood estimation
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    Statistics
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    DIRECTION OF ARRIVALESTIMATION(DOA)
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    ERROR SURFACE
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    Likelihood functions
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    LINE SPECTRAL PAIRS
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    Maximum likelihood methods
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    MULTIPLE SIGNAL CLASSIFICATION METHODS
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    OUTLIER REMOVALS
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    SINUSOIDAL FREQUENCY
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    Iterative methods