DocumentCode
1254990
Title
Multipath time delay estimation using regression stepwise procedure
Author
Tze Fen Li
Author_Institution
Dept. of Appl. Math., Chung Hsing Univ., Taichung
Volume
46
Issue
1
fYear
1998
fDate
1/1/1998 12:00:00 AM
Firstpage
191
Lastpage
195
Abstract
Consider a multipath signal whose individual signals are deterministic known pulses. Our problem is to estimate the amplitudes and delay times of individual signals. Our main idea is to consider the multipath signal as a multiple regression model where each time sample is considered to be a possible arrival time of a pulse that may not be real. We use the regression stepwise procedure to select true pulses and eliminate the false pulses. By using this procedure, the number of pulses in a multipath signal does not need to be known. The results of a Monte Carlo simulation study with sinusoidal and trapezoidal pulses are presented to demonstrate the accurate estimation of arrival times and amplitudes by the regression stepwise procedure
Keywords
Monte Carlo methods; amplitude estimation; delays; maximum likelihood estimation; multipath channels; spectral analysis; statistical analysis; Monte Carlo simulation study; amplitudes; arrival time; arrival times; delay times; deterministic known pulses; multipath time delay estimation; multiple regression model; regression stepwise procedure; sinusoidal pulses; trapezoidal pulses; Additive noise; Amplitude estimation; Delay effects; Delay estimation; Gaussian distribution; Matched filters; Mathematics; Maximum likelihood estimation; Random variables; Signal processing;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.651213
Filename
651213
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