A GTCC-Based Underwater HMM Target Classifier with Fading Channel Compensation
Joint Authors
Mohammed, Shameer K.
Hariharan, Supriya M.
Kamal, Suraj
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-04-03
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Underwater acoustic target classifiers are found to have many applications in military and security areas where a higher degree of prediction accuracy is needed that makes classifier efficiency and reliability an interesting subject.
Classifiers are often trained with known acoustic target specimens with their characteristic feature set and tested with measurements obtained from the sonar that is deployed in the surveillance or observation zone.
The selection of source-specific deterministic features in automatic target recognition (ATR) system is very significant, since it determines the reliability, efficiency, and success rate of the classifier.
The robustness of the gammatone cepstral coefficients (GTCC) in combination with the statistical Euclidean distance, artificial neural network (ANN), and hidden Markov model (HMM) classifiers has been investigated, and its performance is compared with that of other feature extraction schemes.
The classifier performance has been analyzed in Rayleigh fading conditions, based on which the performance is enhanced by incorporating an autoregressive (AR) Rayleigh fading channel compensation.
The performance of the classifier in different operating conditions is investigated, with underwater target signals consisting of the real field data collected during expedition, and the results are presented in this paper.
American Psychological Association (APA)
Mohammed, Shameer K.& Hariharan, Supriya M.& Kamal, Suraj. 2018. A GTCC-Based Underwater HMM Target Classifier with Fading Channel Compensation. Journal of Sensors،Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1201864
Modern Language Association (MLA)
Mohammed, Shameer K.…[et al.]. A GTCC-Based Underwater HMM Target Classifier with Fading Channel Compensation. Journal of Sensors No. 2018 (2018), pp.1-14.
https://search.emarefa.net/detail/BIM-1201864
American Medical Association (AMA)
Mohammed, Shameer K.& Hariharan, Supriya M.& Kamal, Suraj. A GTCC-Based Underwater HMM Target Classifier with Fading Channel Compensation. Journal of Sensors. 2018. Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1201864
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1201864