Research On Imaging Algorithm Of UWB Signal Penetrating Collapse Body In Coal Mine

When a mine accident occurs,it can detect and image the underground disaster site by transmitting wireless signals,and timely acquire the physical information of the trapped person,which can greatly improve the rescue efficiency.Because UWB signals have outstanding performance in obstacles and object recognition,UWB signals are used as a new type of communication signal in mine penetrating exploration imaging systems.Based on this,this paper studies the penetration imaging algorithm for ultra-wideband signals in mines on the basis of theoretical research on the penetration characteristics of mines.This paper first establishes the basic block diagram of the underground UWB imaging system,and analyzes the basic principle of tunneling UWB signal penetration in coal mines.Then,aiming at the problem of strong clutter caused by landslides in the penetrating imaging process,using the feature that landslide clutter is slowly changing in the airspace,an algorithm combining PCA and SaS is proposed to solve the clutter of landslides.In the simulation and experiment,the proposed joint algorithm shows a good ability to suppress clutter noise.Secondly,aiming at the problem of insufficient number of azimuth echoes caused by excessive bandwidth of UWB signals,an improved CS imaging algorithm is proposed.This algorithm mainly uses the sparseness of UWB echo signals and uses phase error estimation to estimate echoes.The data is compensated in phase.Simulation experiments show that this algorithm has better compensation effect for different targets.Finally,aiming at the problem of unknown electromagnetic parameters of obstacles in the process of penetrating imaging,this paper applies time-domain simulation analysis to the penetration propagation process of UWB signals in the underground,and finally obtains a classifier by training the echo sample data.Therefore,the physical information corresponding to the target signal can be directly obtained for any input signal.This algorithm avoids the calculation of electromagnetic parameters of complex cave-in landslide and solves the nonlinearity and morbidity of UWB signals propagating landslide.The simulation results show that the combined algorithm can be used to distinguish the underlying categories of local hidden objects.