Title :
Maximum likelihood time delay estimation in non-Gaussian noise
Author :
Schultheiss, Peter M. ; Messer, Hagit ; Shor, Gadi
Author_Institution :
Dept. of Electr. Eng., Yale Univ., New Haven, CT, USA
fDate :
10/1/1997 12:00:00 AM
Abstract :
In a non-Gaussian noise environment, it is theoretically possible to design a delay estimator that performs significantly better than the conventional linear correlator. We study the maximum likelihood estimator for passive time delay in non-Gaussian noise. We show that the form of the best estimator depends strongly on signal-to-noise ratio (SNR), and the estimator optimal at low SNR can fail catastrophically at high values of SNR. The paper uses simulations to examine this sensitivity problem and proposes an ad hoc instrumentation that is reasonably robust over a wide range of SNR values
Keywords :
correlators; delays; maximum likelihood estimation; noise; SNR; delay estimator design; linear correlator; maximum likelihood estimator; maximum likelihood time delay estimation; nonGaussian noise; optimal estimator; passive time delay; robust instrumentation; sensitivity problem; signal detection; signal to noise ratio; simulations; Correlators; Delay effects; Delay estimation; Instruments; Maximum likelihood detection; Maximum likelihood estimation; Noise robustness; Signal to noise ratio; Taylor series; Working environment noise;
Journal_Title :
Signal Processing, IEEE Transactions on
