面向磁浮交通的强电磁干扰智能感知及定位方法研究OA

The ultra-wideband(UWB)and inertial measurement unit(IMU)fusion localization was currently the most promising technology direction with great application potential in railways.However,in high-speed maglev transporta-tion,UWB anchors deployed along the track leaded to significant localization errors caused by maglev electromagnetic interference.Based on this,a joint time series and strong interference mitigation method was proposed.Firstly,a Markov chain was constructed to model the channel state and formed a time series train state transition model that integrated the channel state.Secondly,an iterative error estimation algorithm was used to calculate the ranging interference between each UWB anchor and target in real time.Finally,a fusion localization model integrating interference classification was constructed to eliminate ranging interference,as well as enhance fusion localization.Simulation results show that the pro-posed method outperforms five other typical interference mitigation algorithms.Moreover,the algorithm performance improvement is more significant with strong and varying interference.