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
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;
Conference_Titel :
System Theory, 1988., Proceedings of the Twentieth Southeastern Symposium on
Conference_Location :
Charlotte, NC, USA
Print_ISBN :
0-8186-0847-1
DOI :
10.1109/SSST.1988.17090
