Title :
Fractional lower-order moment based adaptive algorithms for time delay estimation in impulsive noise
Author_Institution :
Dept. of Electr. Eng., City Univ. of Hong Kong, China
Abstract :
A class of fractional lower-order moment based adaptive algorithms for estimating the time difference of arrival between signals received at two spatially separated sensors in the presence of impulsive noise modeled as a stable process is proposed. Convergence of the algorithms is discussed and simulation results are included to evaluate their comparative delay estimation performances
Keywords :
adaptive estimation; adaptive signal processing; convergence of numerical methods; delay estimation; impulse noise; TDOA estimation; algorithm convergence; fractional lower-order moment based adaptive algorithms; impulsive noise; spatially separated sensors; stable process; time delay estimation; time difference of arrival estimation; 1f noise; Adaptive algorithm; Convergence; Delay effects; Delay estimation; Performance evaluation; Sampling methods; Signal processing; Time difference of arrival; Working environment noise;
Conference_Titel :
Circuits and Systems, 1999. 42nd Midwest Symposium on
Conference_Location :
Las Cruces, NM
Print_ISBN :
0-7803-5491-5
DOI :
10.1109/MWSCAS.1999.867800
