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http://dx.doi.org/10.5657/KFAS.2022.0195

Separation of Spectrally Overlapped Broadband Acoustic Scattering Signals from Japanese Needlefish Hypohamphus sajori Using the Fractional Fourier Transform  

Lee, Dae-Jae (Division of Marine Production System Management, Pukyong National University)
Publication Information
Korean Journal of Fisheries and Aquatic Sciences / v.55, no.2, 2022 , pp. 195-206 More about this Journal
Abstract
The separation of spectrally overlapped broadband echo signals from free-swimming Japanese needlefish Hypohamphus sajori using the fractional Fourier transform (FrFT) was investigated. The broadband echo signals were measured over frequency ranges of 40-80 and 110-220 kHz. The overlapped echo signals were separated after eliminating noise signals in the smoothed pseudo-Wigner-Ville distribution domain. The echo signal from a 40 mm WC sphere suspended just below a chirp transducer was used to calibrate the broadband of the chirp echo sounder and estimate the frequency dependence of target strength for the separated echo signals. The experimental results show that the proposed FrFT method can analyze the time-frequency image of broadband echo signals from free-swimming individual fish effectively and can be used as a quantitative tool for extracting the acoustic features used for fish species identification.
Keywords
Broadband echoes; Time-frequency filtering technique; Hypohamphus sajori target strength; Signal separation; Image denoising;
Citations & Related Records
Times Cited By KSCI : 8  (Citation Analysis)
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