摘要
短报文通信是我国北斗卫星导航系统特有的一个功能,可用于公网通信覆盖盲区位置的数据传输。而通信频度和报文长度的限制,降低了北斗短报文通信的效率,为此,提出了一种用于北斗通信数据的压缩方法。该压缩方法分两步,第一步为有损压缩,以工业数据库压缩技术中的旋转门算法为基础,同时为了实现有损压缩的精度可调,用改进的BP神经网络PID控制器对旋转门算法的参数进行在线调整;第二步为无损压缩,提出了前置特殊字节配合差值传递的无损压缩策略。实验表明经过此方法两步压缩后,对工业过程数据完成了较高的压缩,同时,压缩精度也可在压缩过程中准确调整。
Beidou＇s short-message communication, which is a special feature of Beidou satellite navigation and positioning system, is especially used in the area which is beyond the coverage of general public communication. However, because of the limit in fiequency of communication and the length of packet, the efficiency of Beidou＇s short-message is not very high. To solve this, a compression method based on Beidou short-message is presented. This compression method includes two steps. The first step is called lossy compression. In this step, Spinning Door Transformation（SDT）, which is a common compression algorithm in database field, is as a core algorithm for the stage of lossy compression. In addition, a revised BP Neural network PID controller is designed to adjust some parameters used in SDT. The second step is called lossless compression. A method called front extra byte lossless compression is presented in this paper. After a series of experiments, it can be concluded that the original industrial data has finished compressed successfully. In addition, variable precision of compression could be available during the compression.
出处
《电子技术应用》
北大核心
2017年第10期106-110,115,共6页
Application of Electronic Technique
关键词
北斗短报文
BP神经网络
工业数据
Beidou＇ s short-message
Spinning Door Transformation（SDT）
industrial data
