Title :
On noise suppression in adaptive delay estimation
Author :
Raman, J. ; Weyten, L.
Author_Institution :
Ghent Univ., Belgium
Abstract :
While adaptive gradient descent algorithms for delay estimation are very attractive for their computational simplicity, when compared to generalized cross correlators they lack the improved performance obtained by prefiltering the noisy signals. We demonstrate how time-domain prefiltering with low computational cost can be accomplished when estimating the delay of a stochastic lowpass signal under additive white noise interference
Keywords :
FIR filters; adaptive estimation; adaptive filters; adaptive signal processing; delay estimation; filtering theory; gradient methods; maximum likelihood estimation; white noise; FIR prefilter; adaptive delay estimation; adaptive gradient descent algorithms; adaptive prefilter; additive white noise; additive white noise interference; computational simplicity; generalized cross correlators; low computational cost; maximum likelihood time delay estimator; noise suppression; stochastic lowpass signal; time-domain prefiltering; Australia; Bandwidth; Delay effects; Delay estimation; Filtering; Finite impulse response filter; Frequency; Radar signal processing; Signal processing; Signal processing algorithms;
Conference_Titel :
Signal Processing and Its Applications, 1999. ISSPA '99. Proceedings of the Fifth International Symposium on
Conference_Location :
Brisbane, Qld.
Print_ISBN :
1-86435-451-8
DOI :
10.1109/ISSPA.1999.818150
