基于嵌入式ARM的捷联惯导位姿自主预测模型

发布时间：2018-01-26 06:04

本文关键词： 嵌入式捷联惯导位姿自主微处理器　出处：《科技通报》2015年04期 　论文类型：期刊论文

【摘要】：现阶段的嵌入式系统的处理器由于体积、容量和便携性等原因,功耗问题尤为突出。嵌入式程序无法在运载程序中低功耗的使用,造成机体运作时间缩短的现象,降低了机体运作性能。为此,提出基于嵌入式ARM的捷联惯导位姿自主预测模型,将嵌入式与ARM微处理器构建的平台,用捷联惯导的方式完成制导任务。建立位姿自主预测模块,通过位姿定位检测,结合嵌入式程序模块进行自主预测,并在嵌入式ARM微处理器的平台中,经过建立位姿自主预测模型,完成对ARM的捷联惯导的过程。仿真实验表明,基于嵌入式ARM的捷联惯导位姿自主预测模型,实现了嵌入式ARM惯性微处理器直接运行在载体上,为用户提供了低功耗、高效能设计处理器,嵌入式ARM的位姿自主预测缩短了研发周期也同时降低了成本及耗能,具有较高的实际使用价值,为嵌入式处理器的改革和发展提供了帮助。
[Abstract]:Because of the size, capacity and portability of embedded system processors, the power consumption problem is particularly prominent. Embedded programs can not be used in low power delivery programs. The phenomenon of shortening the operating time of the body reduces the operating performance of the body. Therefore, an autonomous prediction model of sins position and attitude based on embedded ARM is proposed, which is based on embedded and ARM microprocessors. The guidance task is accomplished by strapdown inertial navigation. The autonomous predication module of position and attitude is established, and the autonomous prediction is carried out through position and attitude detection, combined with embedded program module, and it is in the platform of embedded ARM microprocessor. Through the establishment of autonomous prediction model of position and attitude, the strapdown inertial navigation (sins) process of ARM is completed. The simulation results show that the autonomous prediction model of strapdown inertial navigation position and attitude is based on embedded ARM. The embedded ARM inertial microprocessor runs directly on the carrier, which provides users with low power consumption and high performance design processor. The autonomous prediction of position and pose of embedded ARM shortens the research and development cycle and reduces the cost and energy consumption. It has higher practical value and provides help for the reform and development of embedded processor.
【作者单位】：昭通学院招生就业处;
【分类号】：TN966;TP332
【正文快照】： 0引言现阶段嵌入式处理器的研究,基本实现了用户的基本性能的要求,处理器通过芯片组程序进行相关参数提取和检验[1]。但现阶段嵌入式平台无法高效能低功耗的运行相关程序,由于处理器的芯片组不同,嵌入式系统不能实现位姿预测[2]。从而造成用户的困扰,致使程序盲目的运行,消耗

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