【摘要】 针对室内复杂环境对可见光定位精度的影响,提出了一种新颖的基于压缩感知的室内可见光定位算法.该方法将目标位置定义为离散空间上的稀疏向量,将接收端接收到的光功率测量矩阵表示为压缩感知理论中测量矩阵、稀疏矩阵与稀疏向量的乘积形式,并且运用稀疏信号重构算法恢复目标位置.可以有效地解决噪声、反射光以及遮挡等环境干扰对定位精确度的影响.与基于接收信号强度的三边定位方法相比,能够有效地降低在房间角落的定位误差.仿真结果表明,该方法具有很高的定位精度,能有效地对抗室内复杂环境干扰.更多还原

【Abstract】 A novel visible light indoor positioning algorithm is proposed by exploiting the compressive sensing theory,aiming at the influence on the positioning accuracy of visible light under complex circumstance indoors. In this method,the target position was defined as a sparse vector in discrete space,and the optical power measurement matrix received by the receiver is expressed as the product of the measurement matrix,the sparse matrix and the sparse vector in the compressed sensing theory,and the sparse signal reconstruction algorithm is used to recover target location. Thus the positioning accuracy was effectively improved by the impact of noise,reflection and occlusion and other environmental interference.It can be concluded from simulation that the method was highly accurate in positioning and functioned well in the interference of complex circumstances indoors.更多还原