Electromagnetic Echo Environment Modeling, Platform Location And Weak Target Detection In Complex Random Scattering Environment

In recent years,the extensive applications of low,small and slow(LSS)targets represented by small unmanned aerial vehicles(UAV)has brought convenience to users,at the same time,it also brought us enormous hidden security issues.In order to solve the problem of LSS target detection,the modeling of radar echo amplitude of random scatterer,the detection of weak target by mobile communication system,and radar simultaneous localization and mapping(SLAM)algorithm in complex environment are studied.The main work and contributions of this thesis are as follows:1.The algorithm for the statistical distribution modeling of radar echo amplitude of close-range random scatterer is researched.Firstly,this thesis analyzes the common statistical distribution model of clutter amplitude,and the probability density functions of the echo amplitude for different random scatterer models are obtained by simulation.Then the parameter extraction of the statistical model is performed based on the measured data.Finally,the results of simulation and measurement are compared and analyzed.2.This thesis presents a new method for detecting LSS targets by cell-specific reference signals of mobile communication system,which can detect the target while communicating without changing the mobile communication protocol.Firstly,the mathematical model of detecting targets with mobile communication signal is derived.Then the model is verified by simulation,and the detection performances for weak targets under background noise of different intensity,interference from other base stations and clutter is analyzed.3.A radar SLAM algorithm is proposed to detect complex electromagnetic scattering environment containing random scatterers.Based on the SLAM with particle filter algorithm,a grid map construction procedure is presented for accurate reconstruction of the shape of spread targets and a close-loop method is used to locate the platform.Simulation shows that the radar SLAM algorithm can obtain the position of platform accurately at the same time build a scattering map precisely.