Title :
The estimate of time delay between two signals with random relative phase shift
Author_Institution :
Stanford University, Stanford, CA
Abstract :
This paper presents the maximum likelihood estimate of the time delay between two signals with random relative phase shift. The analysis applies for both broad-band and narrowband signals and incorporates a parametric representation of the spread of the phase variation which allows the examination of all cases ranging from uniformly distributed phase shift to known phase shift. A realization of the ML estimator is presented which illustrated the difference between optimum processing for random phase shift and no phase shift. The Cramer-Rao bound is also derived and the performance degradation is discussed.
Keywords :
Delay effects; Delay estimation; Density functional theory; Information systems; Maximum likelihood estimation; Narrowband; Phase estimation; Phase noise; Signal analysis; Signal processing;
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '81.
DOI :
10.1109/ICASSP.1981.1171179