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复杂环境下干扰信号优化方法研究

Jamming Waveform Optimization in Complex Environment
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摘要 战场环境日益复杂多变,对干扰机性能提出了更高要求。文章研究复杂环境下干扰信号优化设计方法,一方面,干扰机能够根据当前环境参数自适应地进行干扰信号优化,从而提高干扰效果;另一方面,需要抑制干扰信号在某些特定频带内的功率,从而降低对己方电磁系统的干扰。文章同时采用互信息准则以及阻带约束准则这两个目标函数进行干扰优化设计,该方法不仅能够提高干扰机对雷达系统估计性能的影响,还能有效降低对己方已占用频带的影响,有较好的应用前景。仿真结果验证了该方法的有效性。 The electromagnetic environment in the battle field is becoming more and more com- plex which places a higher demand of the jamming performance. In this paper, the jamming waveform optimization method in complex environment is addressed. On the one hand, the jam- ming signal can be adaptively optimized according to the current environment, so that the jam- ming performance will be improved. On the other hand, the jamming power in certain frequency bands should be suppressed to reduce the interference to the systems of our own side. Two opti- mization targets, namely the mutual information and the stopband constraint, are used simultane- ously to design the optimal jamming waveform. Using the proposed method, the optimal jamming not only reduces the radar estimation performance, but also reduces the interference in the occu- pied frequency bands. Simulation results illustrate the effectiveness of the method in this paper.
出处 《电子对抗》 2016年第5期12-15,44,共5页 Electronic Warfare
关键词 干扰优化 互信息 阻带约束 jamming optimization mutual information stopband constraint
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参考文献11

  • 1张春磊,杨小牛.认知电子战与认知电子战系统研究[J].中国电子科学研究院学报,2014,9(6):551-555. 被引量:48
  • 2张春磊,杨小牛.认知电子战初探[J].通信对抗,2013,32(2):1-4. 被引量:35
  • 3AFRL. Cognitive jammer. RFI- PKS- 0001 - 2010 [ R/ OL]. http://www, fbo. gov.
  • 4DARPA. Adaptive radar countermeasures (ARC). DAR- PA-BAA-12-54[ R/OL]. http://www, fbo. gov.
  • 5M. R. Bell. Informationtheory and radar waveform design [J]. IEEE Transactions on Information Theory, 1993, 39 (5) : 1578-1597.
  • 6W. Zhang,L. Yang. Communication-inspired sensing: a case study on waveform design [ J ]. IEEE Transactions on Signal Processing, 2010, 58(2): 792-803.
  • 7X. Song, P. Willett, S. Zhou, and P. B. Luh. The MI- MO radar and jammer games[ J ]. IEEE Transactions on Sig-nal Processing,2012,60(2) :687-699.
  • 8X. Lan, W. Li, X. Wang, J. Yan, and M. Jiang. MI- MO radar and target Stackelberg game in the presence of clut- ter[ J ]. IEEE Sensors Journal,2015,15 (2) :6912-6920.
  • 9L. Wang, H. Wang, Y. Cheng, and Y. Qin. A novel SINR and mutual information based radar jamming technique [ J]. Journal of Central South University,2013,20(12) :3471 -3480.
  • 10L. Wang, H. Wang, K. Wong, P. Brennan. Minimax robust jamming techniques based on signal-to-interference- plus- noise ratio and mutual information criteria [ J ]. IET Communications,2014,8(10) : 1859-1867.

二级参考文献10

  • 1张春磊.认知电子战”拉开序幕--DARPA开始开发“智能干扰机”[J].通信电子战.2011(1):16-19.
  • 2DARPA. Notice of Intent to Award Sole Source Contract: Behavioral Learning for Adaptive Electronic Warfare (BLADE) Phase 3 [ R/OL]. (2014-2-19). https:// www. fbo. gov/spg/ODA/DARPA/CMO/DARPA-SN-14- 24/listing. html.
  • 3Barry Manz. Cognition: EW Gets Brainy [ J ]. Journal of Electronic Defense ,2012,35 (10) :32.
  • 4Air Force. Cognitive Jammer [ EB/OL ]. https ://www. fbo. gov. ( 2010-1-20 ).
  • 5ONR. Broad Agency Announcement (BAA) NUMBER 13-005 Electronic Warfare Technology [ R/OL]. (2012- 11-19). https://www, fbo. gov.
  • 6DARPA. Broad Agency AnnouncementCOMMUNICATIONS UNDER EXTREME RFSPECTRUM CONDITIONS (Com- mEx )STRATEGIC TECHNOLOGY OFFICEDARPA-BAA 10-74[R/OL]. (2010-9-10). https://www, fbo. gov.
  • 7Disruptor SRxTM[EB/OL].(201-10-4).Exelis官网.
  • 8RANDALL JANKA. Applying Cognitive Radio Concepts to Next Generation Electronic Warfare[ C ]//2010年度软件无线电会议论文集.
  • 9杨小牛.从软件无线电到认知无线电,走向终极无线电——无线通信发展展望[J].中国电子科学研究院学报,2008,3(1):1-7. 被引量:75
  • 10张春磊,杨小牛.认知电子战初探[J].通信对抗,2013,32(2):1-4. 被引量:35

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