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兵工学报 ›› 2013, Vol. 34 ›› Issue (1): 76-81.doi: 10.3969/j.issn.1000-1093.2013.01.014

• 研究论文 • 上一篇    下一篇

稀疏线性调频步进信号弹道导弹进动微多普勒特征重构与提取方法

  

  1. 1.空军工程大学 信息与导航学院, 陕西 西安 710077; 2.93508部队, 北京 100079; 3.空军工程大学 防空反导学院, 陕西 西安 710051; 4.空军工程大学 理学院, 陕西 西安 710051; 5.95947部队, 四川 成都 610081
  • 上线日期:2013-07-22

Reconstruction and Extraction Methods for Micro-Doppler Feature of Ballistic Missile Precession with Sparse Frequency-stepped Chirp Signal

  1. 1. Institute of Information and Navigation, Air Force Engineering University, Xi’an 710077,Shaanxi, China; 2. Unit 93508 of PLA, Beijing 100079, China; 3. Institute of Air and Defense, Air Force Engineering University, Xian 710051,Shaanxi, China; 4. Institute of Science, Air Force Engineering University, Xi’an 710051, Shaanxi, China; 5. Unit 95947 of PLA, Chengdu 610081, Sichuan, China
  • Online:2013-07-22

摘要:

通过理论推导分析了线性调频步进信号(FSCS)体制下弹头进动的微多普勒特征,并结合压缩感知(CS)理论,提出一种基于频谱稀疏FSCS的微多普勒谱图重构方法。该方法可在大幅减少FSCS子脉冲个数的条件下,准确重构出微多普勒谱图信息,同时,有效抑制了谱图中旁瓣的影响。在此基础上,针对CS理论重构出的微多普勒谱图,利用弹头进动微多普勒在谱图上的特征曲线的光滑性,提出一种基于动态规划的弹头进动微多普勒信息提取方法,并利用该方法准确提取到弹头进动微多普勒信息。仿真验证了文中方法的有效性和鲁棒性。

关键词: 信息处理技术, 线性调频步进信号, 压缩感知, 弹头进动, 微多普勒, 动态规划

Abstract:

Some microDoppler features of ballistic missile precession with frequencystepped chirp signal (FSCS) were analyzed theoretically. Combined with compressed sensing (CS) theory, a new method of microDoppler spectrum reconstruction method based on sparse FSCS was proposed. The spectrum information can be reconstructed exactly, in obviously reduced subpulses of FSCS, and the sidelobes of spectrum can be effectively suppressed. Furthermore, aimed at the reconstructed spectrum, a new extraction method for microDoppler features of ballistic missile precession was proposed on the basis of dynamic planning, by using the smooth character of microDoppler curves. The effectiveness and robustness of the method was validated numerically.

Key words: information processing, frequency-stepped chirp signal, compressed sensing, ballistic missile precession, micro-Doppler, dynamic planning