红外传感器动态目标定位灰色预测修正算法研究

Infrared Sensor Dynamic Target Position Prediction Correction Algorithm

目前红外传感器目标定位已经被广泛用于机器人跟踪及检测等各个领域,但是红外传感器在目标定位的过程中容易被外来的干扰所影响,有时不能实时有效地检测出目标的位置,特别是运动目标的位置。文中将灰色预测算法用于红外线传感器监测运动目标位置信号的动态修正。实验表明:灰色预测算法在一定速度时能有效地弥补红外线传感器的外在干扰信号,并在干扰信号不是十分密集时能成功地修正信号。

The infrared sensor positioning has been widely used in robot target tracking,as well as the detection and other fields,but the infrared sensor in localization of the target process is easily influenced by external interference,sometimes it can not detect the target location effectively and in real-time,particularly the position of moving target.This paper introduced the grey prediction algorithm to dynamic correct the signal of moving target position monitored by infrared sensor.Experimental results show the grey prediction algorithm in a certain speed can effectively compensate for the external interference signals of infrared sensor,and can successfully correct signal when the interference signal is not very dense.