A Non Parametric Estimation Based Underwater Target Classifier

Signal Processing: An International Journal

Binesh T¹  P R Saseendran Pillai¹  Supriya M H¹ 

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关键词: Cepstral Coefficients;    Linear Prediction Coefficients;    H Statistic;    F Statistic;   

DOI  :  

学科分类：物理（综合）

来源: Computer Science Journals

【 摘 要 】

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.

【 授权许可】

Unknown