DocumentCode
2674036
Title
Adaptive signal processing algorithms for time delay estimates and tracking
Author
Park, Sangil ; Kim, Young T.
Author_Institution
Dept. of Electr. Eng., Pittsburgh Univ., PA, USA
fYear
1988
fDate
0-0 1988
Firstpage
433
Lastpage
437
Abstract
A detail comparison of two adaptive algorithms for time-delay estimation and moving-source tracking is presented. These are: (1) B. Widrow´s least-mean-square algorithm (1975), and (2) an adaptive short-term correlator algorithm. The desired comparison is carried out using a digital computer simulation. Bandlimited signals which are perturbed by white Gaussian noise and received at two sensors are considered at various bandwidths and signal-to-noise ratios.<>
Keywords
computerised signal processing; correlation methods; least squares approximations; tracking; white noise; adaptive signal processing; bandlimited signals; correlator; least-mean-square algorithm; moving-source tracking; time delay estimates; white Gaussian noise; Adaptive algorithm; Adaptive signal processing; Bandwidth; Computer simulation; Correlators; Delay effects; Delay estimation; Gaussian noise; Signal processing algorithms; Signal to noise ratio;
fLanguage
English
Publisher
ieee
Conference_Titel
System Theory, 1988., Proceedings of the Twentieth Southeastern Symposium on
Conference_Location
Charlotte, NC, USA
ISSN
0094-2898
Print_ISBN
0-8186-0847-1
Type
conf
DOI
10.1109/SSST.1988.17090
Filename
17090
Link To Document