NDLI: Material recognition based on the time delay of secondary reflections using wideband sonar pulses

Content Provider	IET Digital Library
Author	Dmitrieva, Mariia Brown, Keith Heald, Gary Lane, David
Abstract	The study presents an underwater acoustic signal processing approach for the identification of the material of an object using wideband chirp pulses. The echo from the target is formed by a number of processes that occur during reflection of the pulse from an object. The timing of these reflected components and geometry of their wave paths determine speed of sound in the wave propagating material. The calculated speed of sound is then used to identify the material. The novel method enables automated material identification without any training data. The object of the material identification is a two-layer metal spherical shell filled with liquid and placed in a fresh water tank. The presented approach identifies the shell and filler materials of the sphere. In this work, the sphere thickness is limited by 2% in relation to the radius. Results are evaluated for the sphere's radius in a range from 0.05 to 0.15 m. The approach yields 83.5% success rate for the shell material identification and 79.9% success rate for the filler material on the synthetic data. For the experimental data, 67.3 and 80% success rates were obtained for shell and filler material identification, respectively.
Starting Page	2034
Ending Page	2040
Page Count	7
ISSN	17518784
Volume Number	13
e-ISSN	17518792
Issue Number	Issue 11, Nov (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rsn/13/11
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2018.5493
Journal	IET Radar, Sonar & Navigation
Publisher Date	2019-07-24
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	79.9% Success Rate 80% Success Rates 83.5% Success Rate Acoustic Signal Detection Acoustic Signal Processing Computer Vision And Image Processing Technique Echo Feature Extraction Filler Material Filler Material Identification Instrumentation And Technique For Geophysical, Hydrospheric And Lower Atmosphere Research Material Recognition Oceanographic Technique Optical, Image And Video Signal Processing Radius 0.05 M to 0.15 M Reflected Component Secondary Reflections Signal Detection Signal Processing And Detection Sonar Sonar Detection Sonar Signal Processing Time Delay Underwater Acoustic Signal Processing Approach Underwater Sound Wave Propagating Material Wideband Chirp Pulses Wideband Sonar Pulses
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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