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论文:2012,Vol:30,Issue(2):175-180 |
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引用本文： |
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邵玮, 祝小平, 赵刚, 周洲. 一种无人机红外/毫米波雷达数据融合方法[J]. 西北工业大学 |
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Shao Wei, Zhu Xiaoping, Zhao Gang, Zhou Zhou . A New Method of Data Fusion by IR Sensor and Millimeter-Wave Radar for UAV[J]. Northwestern polytechnical university |
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| 一种无人机红外/毫米波雷达数据融合方法 |
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| 邵玮1, 祝小平2, 赵刚3, 周洲1 |
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1. 西北工业大学 无人机特种技术重点实验室,陕西 西安 710065;
2. 西北工业大学 无人机研究所,陕西 西安 710065;
3. 西北工业大学 航天学院,陕西 西安 710072 |
| 摘要: |
| 无人机用途十分广泛, 不管是侦察定位, 还是执行其他任务, 均需要具有较高的目标跟踪定位能力, 通常可将红外传感器和雷达配合使用。文章针对使用红外传感器在直角坐标系下对目标运动状态估计时不稳定且红外传感器与雷达数据率不一致的问题, 提出一种将基于修正球坐标系的红外(IR)目标跟踪与毫米波雷达(mmw)跟踪结合在一起的方法, 通过使用最优数据压缩方法, 将红外与毫米波雷达信息融合, 解决了在直角坐标系中使用红外传感器的不稳定问题以及红外传感器数据率明显高于雷达数据率的问题, 实现红外与雷达同步数据融合, 有效地提高无人机的目标跟踪能力。 |
| 关键词:
无人机
修正球坐标系(MSC)
红外-雷达融合目标跟踪
最优数据压缩方法
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| A New Method of Data Fusion by IR Sensor and Millimeter-Wave Radar for UAV |
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| Shao Wei1, Zhu Xiaoping2, Zhao Gang3, Zhou Zhou 1 |
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1. Science and Technology on UAV Laboratory at Northwestern Polytechnical University,Xi'an 710072,China;
2. UAV Research Institute,Northwestern Polytechnical University,Xi'an 710072 China;
3. College of Astronautics,Northwestern Polytechnical University,Xi'an 710072,China |
| Abstract: |
| The application of UAV(unmanned aerial vehicle) is wide. Generally, the IR sensor can be used to-gether with radar. Aiming at the problems that the state estimation of a moving target is unstable when using an IRsensor in the rectangular coordinate system and that the data rate of the IR sensor is inconsistent with the data rateof the radar, we propose a new method that combines the IR sensor data with the millimeter-wave radar(mmw) dataunder the modified spherical coordinates (MSC). Sections 1, 2 and 3 of the full paper explain our new method.Subsection 1. 1 briefs the transformation of data coordinate systems. Subsection 1. 2 briefs synchronous data fusion.Sections 2 and 3 explain our new method; their core consists of: we use the optimal data compression method tofuse the IR sensor data and the mmw data, thus eliminating the instability of the IR sensor in the rectangular coordi-nate system and the inconsistency between the IR sensor data rate and the mmw radar data rate. The simulation re-sults, given in Figs. 4, 5 and 6 that present the estimation errors of our new method, and their analysis show pre-liminarily that our new method can achieve the synchronous data fusion of the IR sensor and the mmw radar and ef-fectively enhance the target tracking ability of a UAV. |
| Key words:
data compression
data fusion
errors
infrared devices
Kalman filters
millimeter waves
optimiza-tion
radar
sensors
state estimation
targets
target tracking
tracking (position)
unmanned aerialvehicle ( UAV);flow charting
mmw ( millimeter wave radar)
modified spherical coordinate(MSC)
simulation
synchronous data fusion
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| 收稿日期: 2011-05-12
修回日期:
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| DOI: |
| 通讯作者:
Email： |
| 作者简介: 邵玮(1982-),女,西北工业大学博士研究生,主要从事微小型无人机组合导航、信息融合的研究。
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| 作者相关文章 |
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| 邵玮 在本刊中的所有文章 |
| 祝小平 在本刊中的所有文章 |
| 赵刚 在本刊中的所有文章 |
| 周洲 在本刊中的所有文章 |
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参考文献: |
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[6] 丁光庆, 冯新喜. 基于修正球坐标的红外目标跟踪. 现代防御技术, 2007, 05: 101-104Ding Guangqing, Feng Xinxi. Target Tracking with Infrared Station Based on MSC. Modern Defence Technology, 2007, 05:101-104 (in Chinese) |
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