Title :
High-resolution multipath time delay estimation for broad-band random signals
Author :
Ianniello, John P.
Author_Institution :
US Naval Underwater Syst. Center, New London, CT, USA
fDate :
3/1/1988 12:00:00 AM
Abstract :
The resolution limits to multipath time delay estimation for broadband random signals are examined. First, appropriate Cramer-Rao lower bounds (CRLBs) are derived to establish baseline performance for unbiased estimation. The bounds are then compared to computer simulation results. For the two-path case, a maximum-likelihood estimator is implemented, while for the three-path case, the modified forward-backward linear prediction algorithm developed for high-resolution frequency estimation is used. It is shown that both of these techniques can achieve performance close to the appropriate CRLB; in particular, reliable multipath estimation can be achieved even when the multipath time delays are much closer than could be resolved by conventional autocorrelation processing. A criterion is developed for predicting when the bound is no longer reachable. It is shown that even relatively poor a priori knowledge of the attenuation can significantly help the estimate of time delay for small delays
Keywords :
delays; digital simulation; estimation theory; filtering and prediction theory; random processes; signal processing; Cramer-Rao lower bounds; broadband random signals; computer simulation; maximum-likelihood estimator; modified forward-backward linear prediction algorithm; multipath time delay estimation; resolution limits; time delay; Acoustic propagation; Acoustic sensors; Attenuation; Delay effects; Delay estimation; Frequency estimation; Maximum likelihood estimation; Oceans; Sensor arrays; Signal resolution;
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on