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Improved Non Mutual Information Based Multi-path Time Delay Estimation


Affiliations
1 Faculty of Electrical and Electronics Engineering, Sathyabama University, Chennai, Tamil Nadu, India
2 NEC Mobile networks Excellence Centre, Chennai, Tamil Nadu, India
 

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.

Keywords

Correlation, Joint Entropy, Mutual Information, Non Mutual Information, Time Delay Estimation
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  • Improved Non Mutual Information Based Multi-path Time Delay Estimation

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Authors

S. Radhika
Faculty of Electrical and Electronics Engineering, Sathyabama University, Chennai, Tamil Nadu, India
Sivabalan Arumugam
NEC Mobile networks Excellence Centre, Chennai, Tamil Nadu, India

Abstract


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.

Keywords


Correlation, Joint Entropy, Mutual Information, Non Mutual Information, Time Delay Estimation



DOI: https://doi.org/10.17485/ijst%2F2014%2Fv7i8%2F54353