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Efficient Approach for Sinusoidal Frequency Estimation of Gapped Data

By Frankie K. W. Chan, H. C. So, Senior Member, W. H. Lau, Senior Member and C. F. Chan


Abstract—The problem of frequency estimation for noisy sinusoidal signals from multiple segments or channels, which are referred to as gapped data, is addressed. Based on linear prediction and weighted least squares techniques, an iterative relaxation-based frequency estimator is devised and analyzed. The proposed algorithm is also extended to harmonically related frequencies. Computer simulations are conducted to compare the estimation performance of the developed approach with an existing multichannel frequency estimator and Cramér-Rao lower bound. Index Terms—Frequency estimation, gapped data, multichannel parameter estimation, weighted least squares. I

Year: 2011
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