Dianxin kexue (Jan 2020)
Wireless positioning methods for mitigating the influence of environmental and terminal diversity
Abstract
Two optimization algorithms respectively were proposed according to the traditional two methods based on ranging and fingerprint-based to mitigate or circumvents the influence of environmental parameters on the position-ing results and compared traditional benchmark algorithms and recent similar work through simulation and actual scene experiments.The experimental results show the effectiveness of the algorithms:compared with the traditional benchmark algorithms,the positioning accuracy is improved by about 70%,compared with the recent similar work,the positioning accuracy is also improved by about 20%,at the same time,the change of the environmental parame-ters has little impact on the stability of the proposed algorithm.
