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A Non Parametric Estimation Based Underwater Target Classifier
Binesh T, Supriya M H, P R Saseendran Pillai
Pages - 156 - 164 | Revised - 01-09-2011 | Published - 05-10-2011
Published in Signal Processing: An International Journal (SPIJ)
MORE INFORMATION
KEYWORDS
Cepstral Coefficients, Linear Prediction Coefficients, H Statistic, F Statistic
ABSTRACT
Underwater noise sources constitute a prominent class of input signal in most underwater signal processing systems. The problem of identification of noise sources in the ocean is of great importance because of its numerous practical applications. In this paper, a methodology is presented for the detection and identification of underwater targets and noise sources based on non parametric indicators. The proposed system utilizes Cepstral coefficient analysis and the Kruskal-Wallis H statistic along with other statistical indicators like F-test statistic for the effective detection and classification of noise sources in the ocean. Simulation results for typical underwater noise data and the set of identified underwater targets are also presented in this paper.
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Mr. Binesh T
Cochin University of Science and Technology,Kerala, India - India
bineshtbt@gmail.com
Dr. Supriya M H
Cochin University of Science and Technology,Kerala, India - India
Dr. P R Saseendran Pillai
Cochin University of Science and Technology,Kerala, India - India
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