Name
Title | ||
|---|---|---|
Time-domain analysis of cross correlation for time delay estimationwith an autocorrelated signal |
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 |
Year | DOI | Venue |
|---|---|---|
1993 | 10.1109/78.212738 | IEEE Transactions on Signal Processing |
Keywords | Field | DocType |
short-term integral,estimation accuracy,technique avoids ambiguity,Time-domain analysis,noisy signal,cross correlation,cross correlating sample,time difference,time delay estimationwith,exponentially autocorrelated signal,Nyquist rate,sampling rate | Cramér–Rao bound,Cross-correlation,Time domain,Upper and lower bounds,Sampling (signal processing),White noise,Statistics,Nyquist rate,Mathematics,Autocorrelation | Journal |
Volume | Issue | ISSN |
41 | 4 | 1053-587X |
Citations | PageRank | References |
4 | 0.76 | 1 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| A. Kumar | 1 | 4 | 0.76 |
| Y. Bar-Shalom | 2 | 357 | 80.17 |