基于MEMS的便携式消防员室内定位研究

Research on portable firefighter indoor positioning based on MEMS

针对目前消防定位系统中大多数运动位移都是由直接两次积分加速度的方式得出,而由于传感器的精度和数据漂移会导致这种方式的定位结果误差很大的问题。提出了利用人的运动特点拆分运动过程以减小位置计算误差的方案。首先依据运动特征识别并分离运动状态,以避免对静止态积分产生的漂移误差。并优化零速度修正技术,结合运动特征分别在单个运动状态的加减速阶段进一步进行速度修正,以减小累积误差。得出了不依赖外部设备且成本低、抗干扰力强的位置计算结果。

Aiming at the problem that at present,displacement of most fire-fighting positioning systems is obtained by integrating acceleration twice,but the precision of sensor and data drift will make the positioning results of this method have great errors,a scheme of separating motion process by using human motion characteristics is proposed.Firstly,the motion state is identified and separated according to the motion characteristics to avoid drift error caused by static state integration.Optimizing zero velocity correction technology.In order to reduce the cumulative error,velocity correction is carried out at the addition and subtraction stage of a single motion state combined with motion characteristics.The position calculation results are obtained,which are independent of external equipment,low cost and strong anti-jamming ability.It provides a new method for firefighter indoor positioning.