Simulation Of Radar Detection Performance And Research On Key Technologies

Radar detection performance analysis Whether it is for the study of penetration weapons,such as how to design the height of the weapon to make the radar have a lower probability of discovery,it is also important to improve the radar detection performance.At the same time,since the actual radar echo contains a lot of clutter and interference signals,the clutter and interference will affect the radar detection capability.Therefore,the key technologies in radar detection,namely clutter and interference suppression technologies,are studied to improve the radar detection performance.In the research of radar detection performance modeling,simulation and its key technologies,the main contents and innovations of this thesis are as follows:1)Modeling and quantitative simulation analysis of radar low-altitude detection performance.Modeling and simulating for target echoes and clutter in specific environments,including modeling and simulation of radar transmit signals,antenna pattern,Rayleigh distribution,K-distribution.Based on the radar echo simulation,through conventional signal processing,namely,matching filtering,MTI(Moving Target Indication,MTI),MTD(Moving Target Detection,MTD),CFAR(Constant False Alarm Rate,CFAR),The radar detection capability varing with the target height of specific environment can be obtained.2)In the radar echo,the power of the clutter is much higher than the target signal,so the key technology in radar detection,namely clutter suppression,is an important factor affecting radar detection.A constraint-targeted iterative STAP optimization algorithm is proposed for Space-time Adaptive Processing(STAP).The proposed algorithm first transforms the optimization problem,considering the deformation.The optimization condition only limits the detection channel,and does not consider other frequency channels.The proposed algorithm defines the target value of each frequency channel of the cell to be detected,and then minimizes the error between the target value and each frequency channel of the unit to be detected.The constraint condition is transformed into the objective function,and the objective function and the original objective function transformed into the constraint condition are weighted to form a new cost function,and then the filter weight vector is solved by iteratively,compared withthe traditional algorithm for directly solving the STAP weight vector.The performance of the proposed algorithm is improved by 2dB.3)The presence of interfering signals in actual radar echoes will affect the radar's detection capability.For the interference supression in radar detection,the robust adaptive beamforming algorithm based on ADMM(Alternating Direction Method of Multiplier,ADMM)is proposed for Robust Adaptive Beamforming.For the performance of the beamforming algorithm degraded caused by the error of the signal observation direction.The proposed algorithm first decomposes the optimization problem,and then defines the expected value of the condition in all directions based on the optimized conditions of the deformation.The constructed cost function is to minimize the original.Based on the objective function,the expected value is approximated.Finally,the weight vector of the beamformer is solved iteratively by the ADMM algorithm.By comparing with classical adaptive beamforming algorithms such as LCMV(Linear constraint minimum variance,LCMV),LSMI(Loading Sample Matrix Inversion,LSMI),the methods based on Worst-Case-performance-optimization,the performance of the proposed algorithm is better than the traditional algorithm.