基于压缩感知的室内定位系统研究

With the rapid development of mobile Internet, people are increasingly high requirements for location information, especially in the field of indoor positioning technology, still we need to continue to improve its accuracy and stability. This paper studies the fingerprint localization algorithm based on the perception of the position of the compressed signal strength. We proposed a modified vector-based recovery compressed sensing recovery algorithms to achieve a WiFi indoor positioning system, and has been used in experimental scenarios. Finally, the experimental results are given based on compressed sensing indoor positioning algorithms with existing indoor positioning algorithms compare the results proved that compressed sensing algorithm based recovery improved recovery Vector effectively improve the accuracy.