Controlling of shipborne optoelectronic searching and tracking system based on inertial navigation platform

LI Yan; CAO Li-hua; WANG Di-nan

doi:10.3788/OPE.20111905.1126

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Controlling of shipborne optoelectronic searching and tracking system based on inertial navigation platform

Article | 更新时间：2020-08-12

- Controlling of shipborne optoelectronic searching and tracking system based on inertial navigation platform
- Optics and Precision Engineering Vol. 19, Issue 5, Pages: 1126-1133(2011)
- 作者机构：
  
  中国科学院长春光学精密机械与物理研究所,吉林长春,中国,130033
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20111905.1126
  CLC： TN949.6
- Received：09 April 2010，
  
  Revised：24 August 2010，
  
  Published Online：26 May 2011，
  
  Published：26 May 2011
- 稿件说明：
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李焱, 曹立华, 王弟男. 惯导平台下舰载光电搜索跟踪系统的控制[J]. 光学精密工程, 2011,19(5): 1126-1133

LI Yan, CAO Li-hua, WANG Di-nan. Controlling of shipborne optoelectronic searching and tracking system based on inertial navigation platform[J]. Editorial Office of Optics and Precision Engineering, 2011,19(5): 1126-1133
李焱, 曹立华, 王弟男. 惯导平台下舰载光电搜索跟踪系统的控制[J]. 光学精密工程, 2011,19(5): 1126-1133 DOI： 10.3788/OPE.20111905.1126.

LI Yan, CAO Li-hua, WANG Di-nan. Controlling of shipborne optoelectronic searching and tracking system based on inertial navigation platform[J]. Editorial Office of Optics and Precision Engineering, 2011,19(5): 1126-1133 DOI： 10.3788/OPE.20111905.1126.

摘要

针对雷达引导偏差过大影响舰载光电设备迅速跟踪来袭目标

导致光电对抗能力减弱的问题

在惯导平台下提出了一种半自动搜索与电视跟踪技术相结合的控制算法

并应用于光电搜索跟踪系统中。该控制设计主要分为两步:雷达引导下

判断数引偏差是否超过当前视场

随即将人工干预转为自动搜索;当目标在搜索视场内对比度满足图像提取阈值要求时

利用CA模型将最小二乘法求出的惯导速度数据前馈到速度回路

并结合电视脱靶量信息完成电视跟踪的闭环控制。实验显示

该算法对于大引导偏差下的目标稳定捕获距离为16.4 km

比传统方法捕获距离提高了11 km

实现了在半自动目标搜索、稳定捕获跟踪的同时

缩短了雷达引导偏差过大情况下的目标稳定捕获时间

提高了光电对抗能力。

Abstract

As the serious lead deviation of the radar will effect on the tracking ability of ship-based optoelectronic equipment

a new controlling algorithm combined the semi-automatic searching and TV tracking is provided based on an inertial navigation platform and applied to a optoelectronic searching and tracking system.The algorithm is mainly divided into two steps.Firstly

when the deviation of guide exceeds the current scene under the course of radar leading

the artificial mode turns into a auto-searching.Secondly

when the extraction threshold of the image is satisfied for the contrast of the target in the searching scene

the speed computed by using the CA model Least Square Method feeds back to the speed loop

and then combines the TV information to accomplish the closed-loop control of TV tracking. The algorithm is verified by a experiment. Experiment results show that the target capturing distance is 16.4 km on the great lead deviation by using the algorithm

which is highter 11 km than that by using the traditional algorithm. The algorithm can implement the semi-automatic searching and tracking

and can reduce capturing and tracking time

improve the optoelectric count measure ability when the lead deviation of the radar is great.

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Keywords

references

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