Title :
Underwater Acoustic Noise Characteristics of Shallow Water in Tropical Seas
Author :
Sha´ameri, A.Z. ; Al-Aboosi, Y.Y. ; Khamis, N.H.H.
Author_Institution :
Fac. of Electr. Enginnering, Univ. Teknol. Malaysia, Skudai, Malaysia
Abstract :
In the underwater communication and target locating, the biggest challenge is to reduce the effect of underwater acoustic noise (UWAN). An experimental model is presented in this paper to characterize noise in the acoustic underwater channel in shallow water. Data is measured from different depths located in the Tanjung Balau, Johor, Malaysia. Most applications assume the UWAN as additive and Gaussian. However, the UWAN is not just thermal noise but a combination of turbulence, shipping and wind noises. Site-specific noise in shallow water often contains significant non-Gaussian components. Thus, it is appropriate to assume UWAN as colored rather than white with non-Gaussian probability density function (pdf). The real-time noise data are analyzed for different depths to determine the statistical properties such as power spectral density (PSD), autocorrelation function and pdf. The results show the UWAN has a non-Gaussian pdf, and is colored with a power spectral density that decays at a rate of approximately 20 dB/decade. Also, the power decreases with increasing depth as the distance from the surface at approximately 10 dB.
Keywords :
probability; statistical analysis; thermal noise; underwater acoustic communication; wireless channels; Gaussian UWAN; Johor; Malaysia; Tanjung Balau; acoustic underwater channel; additive UWAN; autocorrelation function; nonGaussian components; nonGaussian pdf; nonGaussian probability density function; power spectral density; shallow water; statistical properties; thermal noise; tropical seas; underwater acoustic noise characteristics; Abstracts; Colored noise; Computers; Estimation; Underwater acoustics; Underwater communication; Underwater acoustic noise; Underwater communications; color noise; noise distribution; non-Gaussian statistics; non-white statistics;
Conference_Titel :
Computer and Communication Engineering (ICCCE), 2014 International Conference on
Conference_Location :
Kuala Lumpur
DOI :
10.1109/ICCCE.2014.34