电子学报 ›› 2016, Vol. 44 ›› Issue (6): 1279-1284.DOI: 10.3969/j.issn.0372-2112.2016.06.003

• 学术论文 • 上一篇    下一篇

基于多参数延时决策的低重频雷达速度估计方法研究

周万幸   

  1. 南京电子技术研究所, 江苏南京 210039
  • 收稿日期:2014-07-10 修回日期:2015-06-05 出版日期:2016-06-25 发布日期:2016-06-25
  • 作者简介:周万幸 男,1961年出生,浙江宁波人,1982年毕业于成都电子科技大学,现任中国电子科技集团公司第十四研究所所长,研究员级高级工程师,中国电子学会会士,先后荣获部优秀科技青年、部级有突出贡献专家、享受政府特贴专家、国家有突出贡献专家、江苏省"333"人才工程、光华工程科技奖(青年奖)等荣誉.主持并解决多项重大产品技术攻关,先后获电子部科技进步一等奖、电子部科技进步特等奖、国家科技进步一等奖和95全国十大科技成就奖等.E-mail:nrietqbs@126.com

LPRF Radar Velocity Estimation Based on Multi-parameter Delay Decision

ZHOU Wan-xing   

  1. Nanjing Research Institute of Electronics Technology, Nanjing, Jiangsu 210039, China
  • Received:2014-07-10 Revised:2015-06-05 Online:2016-06-25 Published:2016-06-25

摘要:

航迹滤波中引入速度量测可提高滤波精度,但低重频雷达测速存在模糊,针对距离微分或Kalman滤波速度估计精度不能完全满足低重频测速解模糊问题,提出了多参数延时决策方法的速度模糊滤波方法.该方法以贝叶斯航迹概率为决策依据,对于难以当前决策的速度参数进行多假设延时决策,可有效解决低重频雷达径向速度估计问题.仿真试验表明,该方法在解速度模糊的同时可进行带径向速度量测的滤波,能较大程度地提高距离估计精度,并在一定程度上提高角度估计精度.

关键词: 多参数, 延时决策, 贝叶斯航迹概率, 速度模糊

Abstract:

Introducing velocity measurement into track filtering can improve filtering accuracy, but velocity ambiguity in LPRF radar still exists, and range differential or Kalman filter cannot solve this problem completely.Thus, a new velocity ambiguity filtering method based on multi-parameter delay decision is proposed.According to Bayes track probability, multi-hypothesis delay decision can be performed on those velocity parameters that are difficult to be decided currently, so the problem of radical velocity ambiguity in LPRF radar will be solved effectively.Simulation results show that this method is helpful for velocity ambiguity resolution and radical velocity measurement filtering, thus range estimation accuracy can be improved significantly and angle estimation accuracy can be improved to a certain extent.

Key words: multiple parameters, delay decision, Bayes track probability, velocity ambiguity

中图分类号: