计算机工程与应用 ›› 2012, Vol. 48 ›› Issue (6): 129-130.

• 数据库、信号与信息处理 • 上一篇    下一篇

稀疏分解在雷达移频干扰抑制方面的应用研究

冯有前1,余付平2,高大化1,安芹力1   

  1. 1.空军工程大学 理学院,西安 710051
    2.空军工程大学 导弹学院,陕西 三原 713800
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2012-02-21 发布日期:2012-02-21

Research on radar shift-frequency jamming suppression based on sparse decomposition

FENG Youqian1, YU Fuping2, GAO Dahua1, AN Qinli1   

  1. 1.College of Science, Air Force Engineering College, Xi’an 710051, China
    2.The Missile Institute, Air Force Engineering College, Sanyuan, Shaanxi 713800, China

  • Received:1900-01-01 Revised:1900-01-01 Online:2012-02-21 Published:2012-02-21

摘要: 移频干扰是对脉冲压缩雷达有效的干扰形式,为了抑制移频干扰对线性调频脉冲压缩雷达的影响,提出构建自适应的联合过完备原子库的思想。根据雷达发射信号与移频干扰信号的特征,构造一组线性调频时移信号和一组线性调频频移信号,由这两部分信号共同构成联合过完备库;利用稀疏分解方法和BP(Basis Pursuit)算法实现干扰抑制和有用信号的重构。实验结果验证了该方法的有效性和正确性。

关键词: 联合过完备库, 稀疏分解, 移频干扰, BP算法, 干扰抑制

Abstract: Shift-frequency Jamming is effective jamming to pulse compress radar of the Linear Frequency Modulation signal(LFM). To suppress shift-frequency jamming, the idea of constructing the combining redundancy dictionary is proposed. A set of LFM shift-
time signals and LFM shift-frequency signals are built up according to the features of transmitted signal and jamming signal, the two-part signals form the combining redundancy dictionary. Then jamming suppression and the signal reconstruction are achieved with the sparse decomposition method and BP(Basis Pursuit) algorithm. The simulation results show that the proposed method is effective and correct.

Key words: combining redundancy dictionary, sparse decomposition, shift-frequency jamming, BP algorithm, jamming suppression