Title :
Adaptive time delay estimation for sinusoidal signal
Author_Institution :
Dept. of Electron. Eng., Chinese Univ. of Hong Kong, Shatin, China
Abstract :
An adaptive algorithm is proposed for time delay estimation between sinusoidal signals received at two spatially separated sensors. The idea is to model the differential delay by an FIR filter whose coefficients are samples of a sine function. The delay estimate is updated directly on a sample-by-sample basis using the least mean square method, and its convergence behavior and mean square delay error are analyzed. The delay estimation performance of the algorithm can be further improved when the signal and noise powers are available. Computer simulations are presented to validate the theoretical derivations of the proposed estimator for static and linearly varying delays
Keywords :
FIR filters; adaptive estimation; convergence of numerical methods; delay estimation; filtering theory; least mean squares methods; FIR filter; LMS method; adaptive algorithm; adaptive time delay estimation; convergence behavior; delay estimate; differential delay; filter coefficients; least mean square method; mean square delay error; noise power; signal power; sine function samples; sinusoidal signal; spatially separated sensors; Adaptive algorithm; Computer errors; Computer simulation; Convergence; Delay effects; Delay estimation; Error analysis; Error correction; Finite impulse response filter; Least mean squares methods;
Conference_Titel :
Circuits and Systems, 2000. Proceedings. ISCAS 2000 Geneva. The 2000 IEEE International Symposium on
Conference_Location :
Geneva
Print_ISBN :
0-7803-5482-6
DOI :
10.1109/ISCAS.2000.858798
