Title :
A new constrained least mean square time-delay estimation system
Author :
Ho, K.C. ; Ching, P.C.
Author_Institution :
Dept. of Electron. Eng., Chinese Univ. of Hong Kong, Shatin, Hong Kong
fDate :
8/1/1990 12:00:00 AM
Abstract :
An adaptive filter for determining the time difference in a signal between two split-array outputs is described. A least-mean-square (LMS) algorithm is used to adapt the constrained filter coefficients to samples of a sinc function. The newly configured LMS time-delay estimation model has a faster convergence speed and a superior ability to track time-varying delays. In addition, the same filter length can be used to measure a longer delay without resulting in a larger truncation error
Keywords :
adaptive filters; delays; filtering and prediction theory; least squares approximations; signal detection; LMS; adaptive filter; constrained filter coefficients; constrained least mean square; convergence speed; filter length; sinc function; split-array outputs; time-delay estimation system; time-varying delays; truncation error; Adaptive filters; Circuits and systems; Convergence; Delay effects; Delay estimation; Finite impulse response filter; Finite wordlength effects; Least squares approximation; Length measurement; Radar applications; Radar tracking; Seismology;
Journal_Title :
Circuits and Systems, IEEE Transactions on
