Target Angular Position Classification with Synthesized Active Sonar Signals

Jongwon SEOK  Taehwan KIM  Keunsung BAE  

IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E97-A   No.3   pp.858-861
Publication Date: 2014/03/01
Online ISSN: 1745-1337
DOI: 10.1587/transfun.E97.A.858
Print ISSN: 0916-8508
Type of Manuscript: LETTER
Category: Engineering Acoustics
target,  angular position,  pattern recognition,  LFM,  highlight model,  fractional Fourier transform,  

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This letter deals with angular position classification using the synthesized active sonar returns from targets. For the synthesis of active sonar returns, we synthesized active sonar returns based on ray tracing algorithm for 3D highlight models. Then, a fractional Fourier transform (FrFT) was applied to the sonar returns to extract the angular position information depending on the target aspect by utilizing separation capability of the time-delayed combination of linear frequency modulated (LFM) signals in the FrFT domain. With the FrFT-based features, three different target angular positions were classified using neural networks.