Universiti Teknologi Malaysia Institutional Repository

Enhancement signal detection in underwater acoustic noise using level dependent estimation time-frequency de-noising technique

Al-Aboosi, Yasin Yousif and Sha’ameri, Ahmad Zuri and Sallomi, Adheed Hasan (2020) Enhancement signal detection in underwater acoustic noise using level dependent estimation time-frequency de-noising technique. Journal of Marine Engineering and Technology, 19 (1). pp. 1-14. ISSN 2046-4177

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Official URL: http://dx.doi.org/10.1080/20464177.2018.1508810

Abstract

In sonar and underwater digital communication, optimal signal detection is imperative. In many applications, additive white Gaussian noise (AWGN) is assumed; thus, a linear correlator (LC), which is known to be optimal in the presence of AWGN, is normally used. However, underwater acoustic noise (UWAN) affects the reliability of signal detection in applications in which the noise originates from multiple sources and doesn’t follow the AWGN assumption. As a result, an LC detector performs poorly in tropical shallow waters. Accordingly, this study aims to develop a detection method for improving detection probability (PD) by using a time–frequency denoising method based on the S-transform with multi–level threshold estimation. The UWAN used for the validation is sea truth data collected at Desaru beach on the eastern shore of Johor in Malaysia with the use of broadband hydrophones. The performances of four different detectors, namely, the proposed Gaussian noise injection detector (GNID), a locally optimal (LO) detector, a sign correlation (SC) detector, and a conventional LC detector, are evaluated according to their PD values. For a time-varying signal, given a false alarm probability of 0.01 and a PD value of 90 percent, the energy-to-noise ratios of the GNID, LO detector, SC detector, and LC detector are 8.89, 10.66, 12.7, and 12.5 dB, respectively. Among the four detectors, the GNID using the S-transform denoising method achieves the best performance.

Item Type:Article
Uncontrolled Keywords:detection methods, detection probabilities, digital communications
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:89709
Deposited By: Yanti Mohd Shah
Deposited On:22 Feb 2021 14:09
Last Modified:22 Feb 2021 14:09

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