This paper is published in Volume-5, Issue-6, 2019
Area
Signal Processing
Author
Korla Jayanthi
Org/Univ
Rajiv Gandhi University of Knowledge and Technologies, Srikakulam, Andhra Pradesh, India
Pub. Date
02 December, 2019
Paper ID
V5I6-1224
Publisher
Keywords
CA-CFAR, SVM

Citationsacebook

IEEE
Korla Jayanthi. Performance of fusion algorithm for active sonar detection in underwater acoustic reverberation environment, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Korla Jayanthi (2019). Performance of fusion algorithm for active sonar detection in underwater acoustic reverberation environment. International Journal of Advance Research, Ideas and Innovations in Technology, 5(6) www.IJARIIT.com.

MLA
Korla Jayanthi. "Performance of fusion algorithm for active sonar detection in underwater acoustic reverberation environment." International Journal of Advance Research, Ideas and Innovations in Technology 5.6 (2019). www.IJARIIT.com.

Abstract

In the active SONAR system, the detection of a target is performed by Matched-Filter processing proceeded by a Constant False Alarm Rate (CFAR) thresholding method. CFAR alone is a not a competent method, to annihilate the invalid echoes. This method on sole does not attain the best pursuance under the reverberation scenario in the non-homogeneous condition of the acoustic environment. In this, the paper Fusion algorithm is recommended for active sonar application, where the CA-CFAR and Support Vector Machine (SVM) based classification method are together used to annihilate the invalid echoes and simultaneously improve the detection of valid echoes. In this paper, a comparison of linear and non-linear SVM with the CA-CFAR method is proposed for elevating the performance of detecting the valid echoes and annihilates the invalid echoes. The interpretation of the algorithm is accomplished using measured data.