Research On Multi-radar System For Small Targets And Its Application In Scattering Modeling Of Complex Electromagnetic Environment

Multi-radar system is composed of a plurality of spatially separated radars,and the information of all the observed targets in the system would be fused.Because of its high precision,high mobility,strong anti-interference ability and the high reliability with low cost,the Multi-radar system has become the research direction for the next generation of radar.In this paper,the signal processing and fusion of the multi-radar system is studied,and applied in the simultaneous localization and mapping.The main work is as follows:1.A distributed radar system composed of a number of small radars is studied,and it is based on the coherent accumulation and CFAR detection.In this system,each small radar works in two modes: orthogonal mode and coherent mode.And the simulation results show that the system can effectively improve the signal to noise ratio(SNR)of the echoes.2.The maximum likelihood registration is studied,and the simulation results show that the algorithm can accurately estimate the system deviation and ensure the superiority of the multi-radar system.In target tracking,a novel algorithm based on genetic particle filtering and covariance intersection is proposed.The adaptive genetic algorithm is applied in resampling,and it overcomes the problem of particle deprivation in the particle filtering with hybridization and mutation.The fused algorithm of Non-iterative covariance intersection can be used to ensure the consistency of the target estimation.And the simulation results show that the novel algorithm can obtain more accurate estimation of the target comparing with the classical particle filter.3.A method of simultaneous localization and mapping based on genetic particle filtering is proposed.Firstly we obtain the local maps by using pulse radar,then the optimal global map is obtained by matching and fusing the local maps based on covariance intersection.The simulation results show that the position estimations of mobile platforms and the position estimations of landmarks become more accurate over time.In the end,the landmark building of line segment based on points is studied.The processing use the matching fusion of line segments and the clustering based on density.