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Recursive filtering Radon-Ambiguity Transform algorithm for detecting multi-LFM signals

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Journal of Electronics (China)

Abstract

In multi-LFM signal condition, Radon-Ambiguity Transform (RAT) of the strong LFM component has strong suppression effect on that of the weak LFM component. A method named as Recursive Filtering RAT (RFRAT) algorithm is proposed for solving this problem. By fully using of the Maximum Likelihood (ML) estimation value of the frequency modulation rate got by RAT, RFRAT can detect the noisy multi-LFM signals out step by step. The merit of this new method is validated by an illustrative example in low Signal-to-Noise-Ratio (SNR) condition.

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Authors and Affiliations

  1. Dept. of E. E., University of Electronic Science & Technology of China, 610054, Chengdu

    Li Yingxiang & Xiao Xianci

Authors
  1. Li Yingxiang
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  2. Xiao Xianci
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Additional information

Supported by the National 973 Program (No.973-1-12)

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Li, Y., Xiao, X. Recursive filtering Radon-Ambiguity Transform algorithm for detecting multi-LFM signals. J. of Electron.(China) 20, 161–166 (2003). https://doi.org/10.1007/BF02687699

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  • DOI: https://doi.org/10.1007/BF02687699

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