Title :
Frequency estimation, phase unwrapping and the nearest lattice point problem
Author :
Clarkson, I.V.L.
Author_Institution :
Dept. of Electr. & Electron. Eng., Melbourne Univ., Parkville, Vic., Australia
Abstract :
In this paper, we examine the relationship between frequency estimation and phase unwrapping and a problem in algorithmic number theory known as the nearest lattice point problem. After briefly reviewing the theory of these three topics, we introduce an interpretation of the maximum likelihood frequency estimation problem as a nearest lattice point problem. We develop an algorithm based on this approach and present numerical results to compare its performance with other estimation techniques. We find that the algorithm has good powers of estimation
Keywords :
frequency estimation; maximum likelihood estimation; number theory; signal processing; spectral analysis; algorithmic number theory; frequency estimation; maximum likelihood estimation; nearest lattice point problem; numerical results; phase unwrapping; signal processing; Biomedical signal processing; Frequency estimation; Lattices; Linear regression; Maximum likelihood estimation; Phase estimation; Radar applications; Radar signal processing; Random variables; Signal processing algorithms;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7803-5041-3
DOI :
10.1109/ICASSP.1999.756296