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Underwater Noise and its Statistical Analysis to Qualify the Signal into Gaussian/Nongaussian Category
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 181 - Number 27 |
| Year of Publication: 2018 |
| Authors: M. Selva Balan, C. R. S. Kumar, Swati D. Padole |
10.5120/ijca2018918063
|
M. Selva Balan, C. R. S. Kumar, Swati D. Padole . Underwater Noise and its Statistical Analysis to Qualify the Signal into Gaussian/Nongaussian Category. International Journal of Computer Applications. 181, 27 ( Nov 2018), 12-15. DOI=10.5120/ijca2018918063
Abstract
In communication system, noise is very important factor. Like in free space, underwater noise is the result of many contribution. It is the combination of different noises which occur on surface or in deep water. Combination of all noises called as ambient noise which divide in two group i.e. man-made and natural noise. Acoustic signal is used to transmit the underwater data from one place to another place. Here focus on individual statistical analysis of all noises also done the simulation and from that decide, this is Gaussian or not. Generally underwater noise is additive with non-gaussian. Again focus on types of noises. In underwater, different noise occur at different frequency. For ship noise, ship activity is important parameter and for wind noise wind speed is more important. Here consider ship activity is medium and wind speed is 25m/s. An algorithm based on non-gaussian approach allow to generate number of sequence of samples for noise realization and on the bases of kurtosis level decide the gaussianity. Again focus on combination of all noise like noise model and calculate the PSD of individual noise which indicate different noise occur at different frequency.
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