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抗压制干扰的低距离旁瓣相位编码设计 被引量:1

Phase Coding Design for Combating Barrage Jamming with Low Range Sidelobes
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摘要 雷达系统可通过发射具有低距离旁瓣的波形提高对目标的探测性能,通过最小化干扰信号经滤波器处理后的输出水平来对抗压制干扰。本文以联合最小化干扰信号输出功率和发射信号距离旁瓣为准则建立目标函数,引入权系数来折中考虑干扰输出和距离旁瓣的影响,离散相位形式的相位编码作为约束条件,采用交替方向乘子法(Alternating Direction Method of Multipliers,ADMM)求解目标函数,设计最优相位编码发射波形,并在此基础上结合类幂迭代法(Power Method-Like Iterations,PMLI)提出一种复合算法(Composite Algorithm,CA),在保证雷达的探测性能和抗干扰性能的同时,有效提升了算法的计算速度。 The radar systems can improve the detection performance of the target by transmitting the waveform with low range sidelobes and combat the barrage jamming by minimizing the output level of the jamming signals processed by the filter.In this paper,the objective function is constructed according to the criterion of jointly minimizing the output power of jamming signals and the range sidelobes of transmitting signals.The weight parameter is introduced to making a tradeoff of the influences of the jamming output and the range sidelobes.Serving discrete phases as constraint conditions,the alternating direction method of multipliers(ADMM)is used to search for the optimal phase coding waveform.On the basis of ADMM combined with the power method-like iterations(PMLI),a composite algorithm(CA)is put forward,which not only ensures the detection performance and anti-jamming performance of radar,but also effectively improves the calculation speed of the algorithm.
作者 杜盈 张劲东 尹明月 蒋宜林 DU Ying;ZHANG Jindong;YIN Mingyue;JIANG Yilin(College of Electronic Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China)
出处 《雷达科学与技术》 北大核心 2022年第3期255-259,271,共6页 Radar Science and Technology
基金 国家自然科学基金(No.62171220) 航空科学基金(No.20172052015,20182007001) 上海航天基金(No.SAST2018-077)。
关键词 距离旁瓣 抗干扰 相位编码 交替方向乘子法 复合算法 range sidelobe combat jamming phase coding alternating direction multiplier method(ADMM) composite algorithm(CA)
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  • 1Lindenfeld M J.Sparse frequency transmit and receivewaveform design[J].IEEE Transactions on Aerospace andElectronic Systems,2004,40(3):851-860.
  • 2Liu W X,Lesturgie M,and Lu Y L.Real-time sparsefrequency design for HFSWR system[J].IET ElectronicLetters,2007,43(24):1387-1389.
  • 3Liu W X,Lu Y L,and Lesturgie M.Optimal sparse waveformdesign for HFSWR system[C].Proceedings 2007International Waveform Diversity and Design Conference,Pisa,Italy,2007:127-130.
  • 4Wang G H and Lu Y L.Sparse frequency transmit waveformdesign with soft power constraint by using PSO algorithm[C].Proceedings IEEE Radar Conference,Roma,Italy,2008:127-130.
  • 5Wang G H and Lu Y L.Designing single/multiple sparesfrequency waveforms with sidelobe constraint[J].IET Radar,Sonar&Navigation,2011,5(1):32-38.
  • 6Deng H.Polyphase code design for orthogonal netted radarsystems[J].IEEE Transactions on Signal Processing,2004,52(11):3126-3135.
  • 7Boyd S and Vandenberghe L.Convex Optimization[M].Cambridge:Cambridge University Press,2009:177-181.
  • 8Stocia P,He H,and Li J.New algorithm for designingunimodular sequences with good correlation properties[J].IEEE Transactions on Signal Processing,2009,57(4):1415-1425.
  • 9Haimovich A M,Blum R S,and Cimini L J Jr.MIMO radarwith widely separated antennas[J].IEEE Signal ProcessingMagazine,2008,25(1):116-129.
  • 10Li J and Stocia P.MIMO radar with colocated antennas[J].IEEE Signal Processing Magazine,2007,24(5):106-114.

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