摘要
空间太阳望远镜卫星(SST)为了补偿卫星平台随机抖动稳定图像采用了相关跟踪方法。而相关跟踪器计算时间是提高系统性能的关键之一。在考察国内外相关跟踪研究成果的基础上,提出了一种新的解决方案。在算法上采用MIMD的并行计算技术分解相关运算,在结构上利用FPGA的可自由配置特点,将并行算法固化在FPGA中,构建了相关跟踪FPGA模块。整个系统在可应用于航天环境的XCV800型FPGA上设计实现,资源与计算精度都满足系统需求,而计算时间仅为0.3ms,比原有设计减少了一半。为提高系统的响应速度等方面性能提供了保障。
High resolution （better than 0.1＂ ） and high precision （better than 10-4 SNR） image of solar magnetic field is the key to develop new solar physics for astronomer. A correlation tracking method to measure the attitude of Solar Space Telescope （SST） satellite using small-scale, low-contrast solar granulation images has been studied. According many papers related on correlation calculation methods, we introduce a new solution, which using the MIMD parallel algorithm and FPGA based custom computing machines. In our design, the whole process can be finished within 0.3ms, which is about one half of other designs, mean- wh/le, the calculation accuracy also meet the requirements of correlation tracker （ CT） system. This correlation calculation unit, which has been great improved on computing performance, can not only meet the requirement of image stabilization system, but also provide a reference for image offline accumulation system on SST.
出处
《宇航学报》
EI
CSCD
北大核心
2008年第4期1350-1357,共8页
Journal of Astronautics
基金
国家自然科学基金委员会天文联合基金(10778628)
