Detection of DRFM jamming for pulse compression radar based on information theory
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    Abstract:

    Information entropy is an important technology to measure information of the signal. Considering the Digital Radio Frequency Memory(DRFM) jamming detection for pulse compression radar, a method of DRFM jamming detection based on information theory is proposed, by exploiting diversity of distribution between target signals and jamming. Using the information entropy of the echo as the detection statistic, the binary jamming detector is designed to detect the DRFM jamming. Simulation results validate the feasibility and effectiveness of the proposed method. While the RSN is above 0 dB, the DRFM jamming detection probability is up to 0.9 for pulse compression waveforms, such as phased code and Linear Frequency Modulation(LFM).

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曹兰英,罗美方,吴 健.基于信息论的脉冲压缩雷达DRFM干扰检测技术[J]. Journal of Terahertz Science and Electronic Information Technology ,2018,16(3):431~435

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History
  • Received:January 07,2017
  • Revised:February 22,2017
  • Adopted:
  • Online: July 03,2018
  • Published: