摘要
星点检测用于星图中星点质心坐标的提取,是星敏感器处理算法的重要组成部分。星点检测的准确度、精度以及处理速度对星敏感器整机性能具有重要影响。目前,成熟的星点检测方案是采用DSP+FPGA进行图像处理,通过高斯曲面拟合、平方质心法等方法提取质心坐标。提出了一种基于SOPC技术和FPGA图像处理实现星点检测的可行方案,详细介绍了关键算法设计及实现细节。在减小电路尺寸的同时,该方案极大提升了处理速度,实际应用中1 024×1024分辨率星图可达到14Hz帧率,这对于提高星敏感器实时性、丰富星点检测的实现方法具有重要意义。
Star detection algorithm is used to extract the stars＇ centroid coordinate. It is an important part of star sensor al gorithm. The detection＇s accuracy, precision and processing rate have an influence on star sensor performance. Currently, a mature solution of star detection is to extract centroid coordinates via gaussian distribution fitting or square centroid method and so on. DSP 4 FP（;A system is widely applied with this method. The implementation of star sensor detection is presented based on SOPC technology and FPGA image processing. It also describes design of key algorithms and implementation de- tails. The circuit area is reduced. The processing rate is improved to 14 fps for 1 024×1 024 resolution star images.
出处
《光学与光电技术》
2015年第1期42-46,共5页
Optics & Optoelectronic Technology
基金
总装基金(9140A01060112JW05017)资助项目
关键词
星敏感器
现场可编程门阵列
片上可编程系统
平方质心法
star sensor
field programmahle gate array
system on programmable chip
square centroid method
