DocumentCode :
894564
Title :
Time-domain analysis of cross correlation for time delay estimation with an autocorrelated signal
Author :
Kumar, Anil ; Bar-Shalom, Yaakov
Author_Institution :
Connecticut Univ., Storrs, CT, USA
Volume :
41
Issue :
4
fYear :
1993
fDate :
4/1/1993 12:00:00 AM
Firstpage :
1664
Lastpage :
1668
Abstract :
The estimation accuracy of the time difference of arrival (TDOA) of an exponentially autocorrelated signal at two sensors in white noise is analyzed. The estimate is obtained by cross correlating samples taken as short-term integrals of the noisy signals from the two sensors. This technique avoids ambiguities in the cross correlation, and it is shown that the best sampling rate is double the Nyquist rate, for which the Cramer-Rao lower bound (CRLB) is met in practice
Keywords :
array signal processing; correlation theory; delays; time-domain analysis; white noise; autocorrelated signal; best sampling rate; cross correlation; estimation accuracy; sensors; time delay estimation; time difference of arrival; time-domain analysis; white noise; Autocorrelation; Delay effects; Delay estimation; Sampling methods; Signal analysis; Signal processing; Signal to noise ratio; Time difference of arrival; Time domain analysis; White noise;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/78.212738
Filename :
212738
Link To Document :
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