Research On Signal Level Fusion Algorithm Of Radar Networking

Radar networking system will play an important role in modern warfare.With data fusion algorithm,radar networking can realize the detection of weak targets through echo accumulation,and obtain the comprehensive state analysis of multiple radar targets,and improve the detection range and detection coverage rate through the time domain,spatial domain,frequency domain or related domain of cooperative detection.In this paper,the signal level fusion detection algorithm of multi-radar is studied.This thesis firstly discusses the influence of single cycle data accumulation on detection performance,then discusses the multi-period signal level fusion detection algorithm.Finally,it preliminarily discusses the data preprocessing method of fusion algorithm and its influence.The specific research work of this thesis is as follows:(1)The single-period signal-level fusion detection algorithm with known noise characteristics is studied.Three single-period fusion detectors are designed by using the single-period data accumulation method,and the performance and influencing factors of detectors are compared through simulation.Simulation results show that the algorithm can improve the detection performance.The advantages of different detectors and their adaptation scenarios are discussed.(2)The multi-period signal level fusion detection algorithm is studied.For the complex target composed of multiple scatterers,the multi-period data fusion detection algorithm of the non-fluctuation model,Swerling 1 and 2 models is studied.The NIM binary accumulation method based on single cycle detection results and its optimal criteria are analyzed.The simulation results show that both the binary accumulation method and the multi-period fusion method can effectively improve the detection performance of radar network signal level fusion.(3)The data preprocessing method is discussed.Based on the transceiver mode of networking system,two detection unit division methods of collaborative detection region are designed for the characteristics of radar receiving beam and minimum spatial resolution.The simulation results show that the algorithms can improve the detection efficiency and resist the active interference of range spoofing by fast target location through time and space domain matching between detection unit and signal.