DocumentCode :
3383304
Title :
Time-domain analysis of cross-correlation for multitarget/multipath time delay estimation
Author :
Kumar, Anil ; Bar-Shalom, Yaakoo
Author_Institution :
Connecticut Univ., Storrs, CT, USA
fYear :
1992
fDate :
7-9 Oct 1992
Firstpage :
485
Lastpage :
488
Abstract :
This paper analyzes the effect of source separation on the estimation accuracy of the TDOA of multiple exponentially autocorrelated signals at two sensors in white noise. The analysis is carried out for uncorrelated signals (separate sources) as well as unity correlated signals, as in multipath propagation from a single source. The estimates are obtained from cross-correlations based on moving average samples of the noisy signals from the two sensors. The effect of the source separation on the degradation ratio is evaluated and compared with the optimal processor. The theoretical performance is verified through simulations for different SNRs and time-bandwidth products. Another advantage of the technique is that it avoids ambiguities in the cross-correlation
Keywords :
array signal processing; correlation methods; delays; parameter estimation; time-domain analysis; white noise; cross-correlations; degradation ratio; exponentially autocorrelated signals; multitarget/multipath time delay estimation; performance; simulations; source separation; time-domain analysis; white noise; Autocorrelation; Degradation; Delay effects; Delay estimation; Interpolation; Sampling methods; Signal analysis; Source separation; Storms; Time domain analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Statistical Signal and Array Processing, 1992. Conference Proceedings., IEEE Sixth SP Workshop on
Conference_Location :
Victoria, BC
Print_ISBN :
0-7803-0508-6
Type :
conf
DOI :
10.1109/SSAP.1992.246890
Filename :
246890
Link To Document :
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