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Algorithm for the detection and parameter estimation of multicomponent LFM signals

  • Letters
  • Published:
Journal of Electronics (China)

Abstract

A novel algorithm based on Radon-Ambiguity Transform (RAT) and Adaptive Signal Decomposition (ASD) is presented for the detection and parameter estimation of multicomponent Linear Frequency Modulated (LFM) signals. The key problem lies in the chirplet estimation. Genetic algorithm is employed to search for the optimization parameter of chirplet. High estimation accuracy can be obtained even at low Signal-to-Noise Ratio(SNR). Finally simulation results are provided to demonstrate the performance of the proposed algorithm.

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Author information

Authors and Affiliations

  1. Key Lab. for Radar Signal Processing, Xidian Univ., 710071, Xi’an, China

    Yuan Weiming, Wang Min & Wu Shunjun

Authors
  1. Yuan Weiming
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  2. Wang Min
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  3. Wu Shunjun
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Additional information

Supported by Key Lab. for Radar Signal Processing Foundation(No.51431050103ZS0106)

Communication author: Yuan Weiming, born in 1976, male, Doctoral candidate. Key Lab. for Radar Signal Processing, Xidian University, Xi’an 710071, China.

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Cite this article

Yuan, W., Wang, M. & Wu, S. Algorithm for the detection and parameter estimation of multicomponent LFM signals. J. of Electron.(China) 22, 185–189 (2005). https://doi.org/10.1007/BF02688146

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  • DOI: https://doi.org/10.1007/BF02688146

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