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Microwave Staring Correlated Imaging Based on Unsteady Aerostat Platform
Zheng Jiang1, Yuanyue Guo2, Jie Deng3
1Key Laboratory of Electromagnetic Space Information, Chinese Academy of Sciences, University of Science and Technology of China, Hefei 230026, China. jiangz10@mail.ustc.edu.cn.
Sensors (Basel, Switzerland)
|June 27, 2019
Summary
This study introduces a new method for microwave staring correlated imaging (MSCI) on unstable aerostat platforms. The adaptive variable suspension and position/orientation system improve imaging performance despite platform motion.
Area of Science:
- Remote Sensing
- Radar Imaging
Background:
- Microwave staring correlated imaging (MSCI) offers high-resolution imaging for stationary targets.
- Tethered floating aerostats are used as platforms for MSCI, but their instability causes imaging degradation or failure.
Purpose of the Study:
- To develop a method to compensate for aerostat platform instabilities in MSCI.
- To maintain high-resolution imaging capabilities for stationary targets despite platform motion.
Main Methods:
- An adaptive variable suspension (AVS) and position and orientation system (POS) were integrated.
- A motion model for the radar array on the aerostat was established.
- A curve-fitting algorithm estimated antenna position and attitude for high-speed sampling.
Main Results:
- The proposed method successfully compensated for platform motion.
- Simulations demonstrated improved imaging performance compared to conventional MSCI.
- The system dynamically controlled antenna beam orientation and measured platform attitude.
Conclusions:
- The developed MSCI model effectively handles unsteady aerostat platform movements.
- This approach enhances imaging stability and quality for remote sensing applications.
- The integration of AVS and POS is crucial for reliable aerostat-based MSCI.
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