Journal of Systems Engineering and Electronics ›› 2011, Vol. 33 ›› Issue (9): 1970-1977.doi: 10.3969/j.issn.1001-506X.2011.09.11

• 传感器与信号处理 • 上一篇    下一篇

基于IMM的高脉冲重复频率雷达解距离模糊方法

王娜1,2, 谭顺成1, 王国宏1, 刘兆磊3   

  1. 1. 海军航空工程学院信息融合技术研究所, 山东 烟台 264001
    2. 中国人民解放军92941部队93分队, 辽宁 葫芦岛 125001
    3. 中国电子科技集团公司南京电子技术研究所, 江苏 南京 210039
  • 出版日期:2011-09-17 发布日期:2010-01-03

Range ambiguity resolving of HPRF radar based on IMM

WANG Na 1,2, TAN Shun-cheng1, WANG Guo-hong1, LIU Zhao-lei3
  

  1. 1. Institute of Information Fusion Technology, Naval Aeronautical and Astronautical University, Yantai 264001, China
    2. 93 Element, Unit 92941 of the PLA, Huludao 125001, China
    3. Nanjing Research Institute of Electronics Technology, China Electronics Technology Group Corporation, Nanjing 210039, China
  • Online:2011-09-17 Published:2010-01-03

摘要:

针对高脉冲重复频率(high pulserepetition frequency, HPRF)雷达多假设解距离模糊方法在模糊区间发生变化时会出现解距离模糊错误的现象,提出一种基于交互式多模型(interacting multiple model, IMM)的混合滤波解距离模糊方法。通过把脉冲间隔数和脉冲间隔变化量作为目标待估计状态,对离散的脉冲间隔数、间隔变化量和连续的目标状态(径向距离和速度)进行混合滤波,从而将解距离模糊转换为混合滤波问题。仿真结果表明,在第一个驻留时间内,在两帧以上同时检测到目标和只有一帧检测到目标两种情况下,该方法均可以克服现有多假设方法的不足,随着模糊区间的变化,正确地解距离模糊。

Abstract:

In order to deal with the mistake that the multiple hypothesis method makes for the high pulserepetition frequency (HPRF) radar range ambiguity resolving when ambiguous interval changes, a hybrid filter method based on interacting multiple model (IMM) for range ambiguity resolving is proposed. The hybrid state to be estimated contains both the continuous target states such as target radial range and velocity, and the discretevalued pulse interval number and its incremental variable. Thus, the range ambiguity resolving problem can be converted as a hybrid filter problem. Simulation results demonstrate that for two cases, such as the case when the target is detected on more than two frames in the first dwell and the case when the target is detected on only one frame, the proposed method can overcome the deficiency of the existing multiple hypothesis method and resolve the range ambiguity correctly with the variation of the fuzzy interval.