J4 ›› 2014, Vol. 41 ›› Issue (5): 207-212.doi: 10.3969/j.issn.1001-2400.2014.05.035

• 研究论文 • 上一篇    

HPRF雷达距离延拓检测前跟踪方法

张鹏;张林让;胡子军   

  1. (西安电子科技大学 雷达信号处理国家重点实验室,陕西 西安  710071)
  • 收稿日期:2014-04-10 出版日期:2014-10-20 发布日期:2014-11-27
  • 通讯作者: 张鹏
  • 作者简介:张鹏(1974-),男,西安电子科技大学博士研究生,E-mail:zhphsearch@163.com.
  • 基金资助:

    国家自然科学基金资助项目(61301281,61301285)

Tracking-before-detection method based on range extension for HPRF radars

ZHANG Peng;ZHANG Linrang;HU Zijun   

  1. (National Key Lab. of Radar Signal Processing, Xidian Univ., Xi'an  710071, China)
  • Received:2014-04-10 Online:2014-10-20 Published:2014-11-27
  • Contact: ZHANG Peng

摘要:

针对高脉冲重复频率(HPRF)雷达弱小目标检测前跟踪的距离模糊问题,提出了一种基于距离延拓的检测前跟踪方法.该方法采用多重频参差工作模式,对动目标检测器(MTD)处理后的数据进行预处理,并按照不同的距离模糊数进行距离延拓.通过多重频组内直接能量积累和组间的航迹能量积累获取最大的目标能量.最后,采用航迹凝聚策略消除由动态规划算法引起的航迹团聚效应,依据虚假目标与真实目标的相关性去除由低信噪比而引起的虚假目标航迹.在未知目标初始化状态的情况下,该方法提高了对弱小目标的检测性能.仿真结果表明了该方法的有效性.

关键词: 高脉冲重复频率, 距离延拓, 距离模糊, 状态估计, 动态规划, 检测前跟踪

Abstract:

Aiming at the issue of range ambiguity, a novel tracking-before-detection (TBD) method based on range extension is proposed for dim target detection with high pulse repetition frequency (HPRF) radars. The proposed method functioning in a staggering multiple pulse repetition frequencies (PRFs) mode preprocesses the MTD-processed data and performs range-extension according to different range ambiguous numbers. The maximum energy of targets is then acquired through the accumulation of energy inside the group of multiple PRFs and of tracking energy between groups. Finally, the track diffusion effect incurred by the dynamic programming algorithm is eliminated using the tracking cohesion strategy, and the tracking of fake targets caused by a low signal to noise ratio is reduced according to the correlation between fake and real targets. The new method improves the detection performance of the dim target without a priori knowledge of the state of the target. Simulation illustrates the effectiveness of the proposed method.

Key words: high pulse repetition frequency, range extension, range ambiguity, state estimation, dynamic programming, tracking-before-detecttion