Estimation of time delay associated with a given signal is always an interesting and useful problem in many applications like radar, sonar, tele-conferencing, wireless networks. It is important because the results obtained from the time delay estimators are used for further processing. Finding the time delay especially in noisy environment is always complicated and challenging and an accurate delay estimator is inevitable. Most of the time delay estimation techniques use second order statistics. In this paper, an improved new delay estimator based on information theory criteria to work in noisy environment is proposed. Simulation results validate the improvement in the time delay estimation even in very low signal to noise ratio conditions.
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