Volume 46 Issue 6
Jun.  2020
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SONG Yaohui, HUANG Yangchao, ZHANG Hengyang, et al. Multicomponent LFM signal detection and parameter estimation method based on FRFT[J]. Journal of Beijing University of Aeronautics and Astronautics, 2020, 46(6): 1221-1228. doi: 10.13700/j.bh.1001-5965.2019.0430(in Chinese)
Citation: SONG Yaohui, HUANG Yangchao, ZHANG Hengyang, et al. Multicomponent LFM signal detection and parameter estimation method based on FRFT[J]. Journal of Beijing University of Aeronautics and Astronautics, 2020, 46(6): 1221-1228. doi: 10.13700/j.bh.1001-5965.2019.0430(in Chinese)

Multicomponent LFM signal detection and parameter estimation method based on FRFT

doi: 10.13700/j.bh.1001-5965.2019.0430
Funds:

National Natural Science Foundation of China 61701521

More Information
  • Corresponding author: HUANG Yangchao, E-mail: gxyxhbwhyc@sohu.com
  • Received Date: 06 Aug 2019
  • Accepted Date: 17 Jan 2020
  • Publish Date: 20 Jun 2020
  • Aimed at the low searching efficiency of traditional methods, this paper, using aimed searching strategy, proposes a fast and accurate algorithm for detecting and estimating multicomponent Linear Frequency Modulation (LFM) signal parameters.The approximate relation between the power spectrum width and rotation angle of LFM signal in fractional domain is deduced.This paper presents an efficient algorithm for searching the optimal rotation angle using the variation law of power spectrum amplitude with rotation angle in fractional domain.And it is concluded that the computation of this algorithm is small and has great advantages compared with the traditional algorithm.In the case of low SNR, two times of S-G filtering can significantly improve the detection probability. Simulation results show that the algorithm can reliably detect and accurately estimate multicomponent LFM signal parameters under the condition of low SNR and interference between components.

     

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