Research On Electromagnetic Environment Reconstruction Based On Improved MBPE

The study of electromagnetic field distribution in the complex environment has become a topic of concern due to the explosive development of modern communications.The deterministic models are highly sensitive to environmental parameters,so the measurements in the electromagnetic field are particularly necessary.However,the cost of large measurements is extremely high.Therefore,it is necessary for us to find an efficient method to reduce the measurements.Model-based parameter estimation(MBPE)is a fitting model which considers the physical mechanism behinds the problem,and it has a two-dimensional form.This paper focuses on the improvement and application of MBPE in the spatial electromagnetic field reconstruction.In addition,this paper proposes sequential design strategy to optimize the sampling process in our experiment.The detailed contents of this paper are illustrated as follows:(1)It is difficult for the traditional MBPE to reconstruct the complex electromagnetic field accurately.By analyzing the theoretical difficulties,matrix blocking is taken to reduce the calculated matrix size and increase the stability and flexibility of MBPE.The block MBPE(B-MBPE)is compared with the traditional MBPE by reconstructing the same electric field.The reconstruction effect of B-MBPE has been improved greatly,which proves that the correctness of the improvement direction.(2)There exists the block artifact in B-MBPE reconstruction when the sample rate is relatively low.The sliding window method is proposed to smooth the edge of windows and the block artifact will be reduced.The parameters of MBPE with the sliding window method(SW-MBPE)are analyzed by controlling variables and a set of suitable parameters will be given to reconstruct other field distributions to prove the applicability.In comparison with the traditional MBPE and compressive sensing,it can be found that SW-MBPE can achieve better reconstruction effect in relatively low sample rate and reduce the block artifact efficiently.(3)In order to reduce the sampling cost of the reconstruction experiment,a hybrid sequential design strategy algorithm——LOLA Voronoi is proposed to allocate the sample points effectively.Compared with the traditional sampling method(uniform sampling,etc.),sequential design strategy can increase sample points one by one.In addition,new sample points are adaptively selected in unknown regions after analyzing the foregoing sample values,which is more flexible for the choice of sample points.(4)An experimental environment of a semi-dark room is established and sequential design strategy is taken in two scenarios.Different algorithms are taken to reconstruct the power distributions in these two scenarios,and the required sample rate is much lower than expected.In addition,the best algorithm is different in these scenarios,which provides a new idea for us to find the application areas of these reconstruction algorithms.In conclusion,to reduce the cost of measurements greatly,this paper proposes constructive view in the improvement of field reconstruction algorithm and the optimization of the sample process.It will provide technical research of the project“Electromagnetic Data Acquisition and Landscape Scene Construction”.