TY - JOUR
T1 - Efficient approach for sinusoidal frequency estimation of gapped data
AU - Chan, Frankie K. W.
AU - So, H. C.
AU - Lau, W. H.
AU - Chan, C. F.
PY - 2010
Y1 - 2010
N2 - 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 Cramr-Rao lower bound. © 2006 IEEE.
AB - 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 Cramr-Rao lower bound. © 2006 IEEE.
KW - Frequency estimation
KW - Gapped data
KW - Multichannel parameter estimation
KW - Weighted least squares
UR - http://www.scopus.com/inward/record.url?scp=77952277407&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-77952277407&origin=recordpage
U2 - 10.1109/LSP.2010.2046094
DO - 10.1109/LSP.2010.2046094
M3 - RGC 21 - Publication in refereed journal
SN - 1070-9908
VL - 17
SP - 611
EP - 614
JO - IEEE Signal Processing Letters
JF - IEEE Signal Processing Letters
IS - 6
M1 - 5437339
ER -