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      A Sinusoidal Frequency Modulation Fourier-Bessel Transform and its Application to Micro-Doppler Feature Extraction

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          Abstract

          In this paper, a Sinusoidal Frequency Modulation Fourier-Bessel Transform (SFMFBT) is proposed for micro-Doppler (m-D) target feature extraction. Initially, the definition of SFMFBT is given, and then, some of its properties are analyzed. A method to reduce frequency extraction error is then introduced based on error analysis. Finally, some issues in the frequency extraction of discrete signals are discussed. After comparing with the values of Fourier-Bessel Transform (FBT), SFMFBT introduces the parameter k-resolution into the kernel function of FBT so that accuracy of the signal decomposition is distinctly improved. In addition, from the error analysis in SFMFBT, Bessel-based signal decomposition methods can be used for feature extraction, whose application scope is extended. Simulation results verify the effectiveness of the proposed method for a group m-D target and also verifies its robustness when SNR>0 dB.

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          Author and article information

          Journal
          Journal of Radars
          Chinese Academy of Sciences
          01 October 2018
          : 7
          : 5
          : 593-601
          Affiliations
          [1 ] ①(Information and Navigation College, Air Force Engineering University, Xi’an 710077, China) ②(Collaborative Innovation Center of Information Sensing and Understanding, Xi’an 710077, China)
          Article
          f2de1573c4d94335be4cf574c8e87d88
          10.12000/JR17069

          This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

          Categories
          Technology (General)
          T1-995

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