Researches Of Multi-radar Data Fusion Technology

With the rapid development of science and technology,the form of battle against the battlefield has also changed.The processing and utilization of data has gradually become the leading factor affecting the results of the war.Compared with the single radar system,the multi radar system has many advantages such as wide coverage area,high precision of data and strong survivability,but the processing of multiple radar acquisition data is also the primary problem that the system needs to solve.The emergence of multi radar data fusion technology makes it possible to cooperate with multiple radars.This paper studies the related technologies of multi radar data fusion.Firstly,based on the data fusion requirements,this paper design the normalized baseline time selection method,and analyzes the common methods of the two time error registration of interpolation extrapolation and least squares.At the same time,the threshold filtering technology is also introduced,and the difference of the correlation wave gate size and the difference between the different shape wave doors in the technology is analyzed and compared in detail.Secondly,in view of the shortage of joint probabilistic data association(JPDA)algorithm in multi target environment,the framework based on joint probabilistic data association algorithm adopts the combination of grey relational analysis model and empirical joint probability data association(CJPDA)algorithm to propose a modified joint probabilistic data association(M-JPDA)algorithm.The algorithm filters the observation of the correlation wave gate through the grey correlation degree to reduce the association hypothesis.At the same time,the association probability in the empirical joint probability data association is used to calculate the correlation probability of the observation and the target so as to avoid the order of reducing the amount of calculation for the resolution of the confirmation matrix.In this paper,the grey incidence degree is used to compensate for the unreasonable attenuation of the observed correlation probability in the cross gate area.Thirdly,qualitative analysis is made for the problem of unequal interval sampling caused by relative motion between target and search radar.A method based on iterative method is proposed to calculate the actual sampling interval,and the Lagrange interpolation formula is used for compensation.Finally,based on the structure of multi radar data fusion system,the distributed air defense weapon simulation system is developed by using distributed network technology.The system includes the two parts of command and control system and fire control system,which can simulate a series of processes,such as distribution,tracking,and attack in the defense area.The simulation results have important reference value for the verification of the algorithm.