Journal of Systems Engineering and Electronics ›› 2011, Vol. 33 ›› Issue (8): 1765-1769.doi: 10.3969/j.issn.1001-506X.2011.08.17

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Research on anti-noise jamming of radar signals based on sparse decomposition

YU Fu-ping1, FENG You-qian2, GAO Da-hua2, AN Qin-li2   

  1. 1. Missile Institute, Air Force Engineering University, Sanyuan 713800, China;2. Sciences Institute, Air Force Engineering University, Xi’an 710051, China
  • Online:2011-08-15 Published:2010-01-03

Abstract:

To extract the features of radar echo-signals affected by strong jamming noise, the sparse decomposition method and basis pursuit denoising (BPDN)algorithm are proposed to achieve noise reduction. The redundancy dictionary is built up by time shift of linear frequency modulation (LFM) functions. Based on the dictionary, the LFM radar echo signal is decomposed and the jamming noise is reduced, the radar target distance is achieved according to the relation between the sparse coefficient and the target distance. The simulation results show that the proposed method is effective for anti-jamming of radar signals and extracting the distance of targets.

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