摘要
针对弹道导弹星象跟踪实时性问题,提出星象跟踪的实时性改进的一种新方法。该方法根据星象跟踪/预测方法与跟踪模式特点,首先,建立了基于统一存储的星表模式库,并采用k-vector作为检索方法,以提高检索速度;其次,为实时生成局域星象信息集合,提出了并行多维检索的方法,以节省提取星像信息的时间;最后,进行算法性能分析。仿真实验结果表明:该算法能够大大地提高星象跟踪的实时性,提高导弹命中精度。
Aiming at the real-time star tracking problem of missile, a new method for real-time star tracking is proposed. According to the characteristics of star tracking/predicting and tracking mode ,firstly, star model catalog based on unified storage is established, and k-vector is used as searching method to improve searching speed; Secondly,in order to real-time generate information set of local star, a parallel multi-dimensional searching method is proposed to save the time of extracting the star image information ; Finally, the performance of algorithm is analyzed. Simulation results show that the arithmetic can greatly improve the real-time performance of star tracking, and improve missile precision.
出处
《传感器与微系统》
CSCD
北大核心
2012年第8期72-75,共4页
Transducer and Microsystem Technologies
关键词
星象跟踪
预测
实时性
k-vector
并行多维检索
star tracking
predicting
real-time performance
k-vector
parallel multidimensional searching
