Abstract

There is a high demand for underwater communication systems due to the increase in current social underwater activities. The assumption of Gaussian noise allows the use of Traditional communication systems. However, the non-Gaussian nature of underwater acoustic noise (UWAN) results in the poor performance of such systems. This study presents an experimental model for the noise of the acoustic underwater channel in tropical shallow water at Desaru beach on the eastern shore of Johor in Malaysia, on the South China Sea with the use of broadband hydrophones. A probability density function of the noise amplitude distribution is proposed and its parameters defined. Furthermore, an expression of the probability of symbol error for binary signalling is presented for the channel in order to verify the noise effect on the performance of underwater acoustic communication binary signalling systems.

Highlights

  • Increased interest in defense applications, off-shore oil industry, and other commercial operations provides a motivation for research in signal processing for the underwater environment

  • Error Performance Analysis Of binary phase shift keying (BPSK) Signal From the previously estimated pdf, it is possible to evaluate an expression of the probability of symbol error for binary signaling through the underwater acoustic noise (UWAN) channel.The system model is as shown in the Figure 3

  • The red trace is the estimation for the error probability for the UWAN channel obtained directly from Eq 13, while black continuous trace shows the theoretical error performance of the additive white Gaussian noise (AWGN) channel

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Summary

Introduction

Increased interest in defense applications, off-shore oil industry, and other commercial operations provides a motivation for research in signal processing for the underwater environment. Several papers show that the noise in underwater acoustic channel does not follow the normal distribution. An experimental model for the noise of the acoustic underwater channel is developed from the analysis of field data measurements and a pdf is defined. Some publications have stated that the UWAN does not follow the Gaussian distribution [6, 9, 12, 13] Instead, it follows probability density function with extended tail shape, reflecting an accentuated impulsive behaviour due to the high incidence of large amplitude noise events. 3. Data Collection and Non-Gaussian Noise Model Field trials were conducted at Desaru beach (1°35.169ʹN, 104° 21.027′E) to collect signal samples and investigate the statistical properties of UWAN. The pdf represented in Equation 3 has a zero mean and a variance equal to

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Results and Analysis
10-1 X: 3 Y
Conclusion
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