Material recognition based on the time delay of secondary reflections using wideband sonar pulses. Issue 11 (1st November 2019)

• Record Type: Journal Article
• Authors: Dmitrieva, Mariia; Brown, Keith; Heald, Gary; Lane, David
• Is Part Of: IET radar, sonar & navigation. Volume 13:Issue 11(2019)
• Page Start: 2034
• Page End: 2040
• Publication Date: 2019-11-01
• Subjects: feature extraction -- acoustic signal detection -- sonar detection -- echo -- sonar -- oceanographic techniques -- acoustic signal processing -- underwater sound -- sonar signal processing; material recognition -- time delay -- secondary reflections -- wideband sonar pulses -- underwater acoustic signal processing approach -- wideband chirp pulses -- reflected components -- wave propagating material -- filler materials -- 83.5% success rate -- 79.9% success rate -- 80% success rates -- filler material identification -- radius 0.05 m to 0.15 m; Signal processing -- Periodicals; Radar -- Periodicals; Sonar -- Periodicals; Electronics in navigation -- Periodicals; Navigation -- Periodicals; 621.3848
• DOI: 10.1049/iet-rsn.2018.5493
• Languages: English
• ISSNs: 1751-8784

Abstract

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.