NDLI: Time delay estimation using wavelet denoising maximum likelihood method for underwater reverberant environment

Content Provider	IET Digital Library
Author	Rajan, Marxim Rahula Bharathi Boopathi Mohanty, Amiya Ranjan
Abstract	Time delay estimation (TDE) between receivers plays a significant role in various fields such as radar, sonar, global positioning system, and underwater communications. TDE is the first step in the localisation and tracking of the source. Estimation of the time delay of a passive sonar system in a reverberant environment is one of the most challenging tasks. For some decades, the well-known generalised cross-correlation (GCC) method has been implemented to estimate the time delay. By using various pre-filters in the GCC method, the quality of TDE has improved in various cases. In this work, the use of wavelet denoising for TDE in a passive sonar system has been proposed. The proposed method uses the denoised signal in a maximum likelihood estimator in the reverberant environment to estimate the time delay. The proposed method is efficient for the underwater reverberant environment.
Starting Page	1183
Ending Page	1191
Page Count	9
ISSN	17518784
Volume Number	14
e-ISSN	17518792
Issue Number	Issue 8, Aug (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rsn/14/8
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2020.0079
Journal	IET Radar, Sonar & Navigation
Publisher Date	2020-04-16
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Acoustic Signal Processing Correlation Method Delay Estimation GCC Method Generalised Cross-correlation Method Global Positioning System Maximum Likelihood Estimation Maximum Likelihood Estimator Maximum Likelihood Method Passive Sonar System Reverberation Signal Denoising Signal Processing And Detection Statistics TDE Time Delay Estimation Underwater Communication Underwater Reverberant Environment Wavelet Denoising Wavelet Transform
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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