Title :
Unbiased estimation of the phase of a sinusoid
Author :
Peters, Keith ; Kay, Steven
Author_Institution :
Naval Undersea Warfare Center, Newport, RI, USA
Abstract :
Estimation of the phase of a sinusoid is an important problem in signal processing. The usual maximum likelihood estimator is biased and so can produce poor results, especially at low signal-to-noise ratios and/or short data records. It is proven that no unbiased estimator exists; based on the proof, several means of obtaining estimators with less bias than the maximum likelihood estimator are proposed.
Keywords :
integral equations; maximum likelihood estimation; phase estimation; signal processing; SNR; integral equations; maximum likelihood estimator; signal processing; signal-to-noise ratio; sinusoid phase estimation; unbiased estimation; Direction of arrival estimation; Estimation error; Frequency estimation; Gaussian noise; Integral equations; Maximum likelihood estimation; Phase estimation; Phase locked loops; Signal processing; Signal to noise ratio;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
Print_ISBN :
0-7803-8484-9
DOI :
10.1109/ICASSP.2004.1326302