摘要
针对多传感器测试系统采样数据信息量大、不便于存储和实时传输的问题,提出了一种基于改进的二叉树算法对原始采样数据进行实时压缩.根据多传感器系统信息冗余量大的特点,充分利用多传感器信号之间相关性和采样点之间相关性,对采样数据在二维方向上做去冗余处理,从而达到节省数据存储空间、提高数据传输效率的目的.该算法编程简单、计算量较小、易于硬件实现,并在动态称重压力传感器信号的压缩实验中取得了较好的压缩效果.
To resolve the problem of the huge amounts of samples which are difficult to be transferred and saved in multi-sensor testing system, a data compression method based on improved Binary Tree is presented, which compresses the original data by correlation among adjacent samples and among multiple sensor data. The algorithm eliminates correlation of the data in 2-D direction in order to save the memory and enhance the efficiency of the data transmission. This method has the advantages of easy programme, a small account of computation and simple hardware implementation, and it achieves a satisfactory result in the experiment on Weigh-In-Motion （WlM） system.
出处
《传感技术学报》
CAS
CSCD
北大核心
2006年第6期2712-2715,共4页
Chinese Journal of Sensors and Actuators
关键词
多传感器
数据压缩
二叉树
动态称重
multi-sensor
date compression
Binary Tree
weigh-in-motion
