现代防御技术 ›› 2020, Vol. 48 ›› Issue (4): 78-85.DOI: 10.3969/j.issn.1009-086x.2020.04.12

• 探测跟踪技术 • 上一篇    下一篇

基于最小全变差的雷达测距方法

杨明远, 徐笛, 江利中, 丁红晖, 顾泽凌, 张衡   

  1. 上海无线电设备研究所,上海 200090
  • 收稿日期:2020-02-28 修回日期:2020-03-21 出版日期:2020-08-20 发布日期:2021-01-21
  • 作者简介:杨明远(1991-),男,河南信阳人。工程师,硕士,主要研究方向为雷达信号处理。通信地址:200090 上海市闵行区中春路1555号 E-mail:980526769@qq.com
  • 基金资助:
    “上海市优秀技术带头人”资助项目(17XD1422800)

Ranging Method Based on Total Variation Minimization

YANG Ming-yuan, XU Di, JIANG Li-zhong, DING Hong-hui, GU Ze-ling, ZHANG Heng   

  1. Shanghai Radio Equipment Research Institute,Shanghai 200090,China
  • Received:2020-02-28 Revised:2020-03-21 Online:2020-08-20 Published:2021-01-21

摘要: 雷达波束中心距离的估计即目标区域中心相对雷达平台的距离估计是通过和差比幅的方法,找到零深所对应的距离门即为所要估计的距离。在实际情况下,由于噪声的影响很难确定零深的位置,因此距离估计精度不高。为了获得较高精度的距离提出了一种基于最小全变差的雷达测距方法,该方法能够有效地进行距离估计。通过全变差最小的方法能够很好地抑制噪声水平,提高信噪比,使得处理后的数据变得平坦,因此很容易确定和差比幅零深的位置,从而进一步确定零深所对应的距离门。仿真结果表明,该方法能够很好抑制噪声,有效提高测距精度。

关键词: 距离估计, 全变差, 和差比幅, 零深, 信噪比, 测距精度

Abstract: The estimation of the range of the center of the radar beam,that is the range between the center of the target area and the radar platform,is determined by the method of sum-difference amplitude-comparison.The range gate corresponding to the null depth is the estimated distance.In the actual situation,it is difficult to determine the position of null depth due to the influence of noise,so the range estimation accuracy is poor.In order to obtain a high-precision range,a radar ranging method based on total variation minimization is proposed,which can effectively perform distance estimation.The method of minimizing the total variation can suppress the noise level well,improve the signal-to-noise ratio,and make the processed data flat,so it is easy to determine the position of null depth of sum-difference amplitude-comparison,thereby further determining the range gate corresponding to zero depth.Simulation results show that the method can well suppress noise and effectively improve the ranging accuracy.

Key words: range estimation, total variation, sum-difference amplitude-comparison, null depth, signal-noise ratio, ranging accuracy

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