摘要
在利用基于DSP TMS3205416的导航计算机实现捷联惯性航姿参考系统(AHRS)过程中,为充分利用系统硬件资源,实现AHRS系统最优化,针对该DSP硬件系统的特点,优化设计了低阶卡尔曼滤波器算法,并提出了改进导航系统精度的三量分解法(TSA),解决了因DSP位数和相关支持软件的局限而造成的导航系统精度不足的问题。这两种基于DSP的硬件算法的有机融合,可靠有效,对实现工程DSP系统有重要参考价值。
A strapdown inertial Attitude and Heading Reference System(AHRS) was realized with navigation computer based on DSP TMS3205416.To make full use of the system’s hardware and optimize the AHRS system,an optimized algorithm of lower-order Kalman filter was designed considering the characteristics of DSP hardware,and a three-scale-algorithm(TSA) was developed to solve the problem of insufficient navigation precision due to the limitation of DSP bits and its supporting software.These two hardware algorithms were fused effectively and reliably,and they were very helpful for the realization of engineering DSP systems.
出处
《中国惯性技术学报》
EI
CSCD
2006年第6期1-4,共4页
Journal of Chinese Inertial Technology
关键词
惯性导航系统
航姿参考系统
数字信号处理器
卡尔曼滤波
inertial navigation system
attitude and heading reference system
digital signal processor
Kalman filter
