Abstract
The application of UAV (unmanned aerial vehicle) is wide. Generally, the IR sensor can be used together with radar. Aiming at the problems that the state estimation of a moving target is unstable when using an IR sensor in the rectangular coordinate system and that the data rate of the IR sensor is inconsistent with the data rate of the radar, we propose a new method that combines the IR sensor data with the millimeter-wave radar(mmw) data under 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 to fuse the IR sensor data and the mmw data, thus eliminating the instability of the IR sensor in the rectangular coordinate system and the inconsistency between the IR sensor data rate and the mmw radar data rate. The simulation results, given in Figs. 4, 5 and 6 that present the estimation errors of our new method, and their analysis show preliminarily that our new method can achieve the synchronous data fusion of die IR sensor and the mmw radar and effectively enhance the target tracking ability of a UAV.
Original language | English |
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Pages (from-to) | 175-180 |
Number of pages | 6 |
Journal | Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University |
Volume | 30 |
Issue number | 2 |
State | Published - 2012 |
Keywords
- Data compression
- Data fusion
- Errors
- Flow charting
- Infrared devices
- Kalman filters
- Millimeter waves
- Mmw (millimeter wave radar)
- Modified spherical coordinate (MSC)
- Optimization
- Radar
- Sensors
- Simulation
- State estimation
- Synchronous data fusion
- Target tracking
- Targets
- Tracking (position)
- Unmanned aerial vehicle (UAV)