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
fDate :
4/1/1993 12:00:00 AM
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;
Journal_Title :
Signal Processing, IEEE Transactions on