Research On Cooperative Detection Technology Of Networked Radar

The networked radar system combines multiple different types of radars to achieve multiradar cooperative detection,which fully exploits the advantages of multi-radar joint operations and effectively improves the operational effectiveness and survivability of single radars.As the key technology of the networked radar system,the research of the networked radar cooperative detection technology is of great significance for the improvement of the operational performance of the networked radar system.This thesis first introduces the multi-level cooperative detection architecture of networked radar,and then discusses the cooperative detection signal-level fusion detection algorithm of networked radar.On this basis,the space-time resource planning method for cooperative detection of networked radar is studied and the detection performance of the networked radar system is improved by the planning of time,space and energy.Finally,for the problem that the multi-channel beam overlap of the networked radar system will produce false targets,two kinds of networked radar cooperative detection false target suppression algorithms are proposed.The specific research contents are as follows:(1)The basic theory of networked radar,the cooperative detection architecture of networked radar and the cooperative detection signal-level fusion detection algorithm of networked radar are studied.In order to improve the cooperative detection performance and systemized combat capability of networked radar,this thesis introduces a multi-level cooperative detection architecture of networked radar,and discusses three typical working modes and four transmission and reception modes of cooperative detection of networked radar.Then the signal-level fusion detection algorithm under the condition that the noise characteristics are known and the noise characteristics are unknown is studied,and the influence of the number of local radar stations on the detection performance of the networked radar is analyzed by simulation.It is shown that the cooperative detection signal-level fusion detection algorithm of the networked radar can effectively improve the cooperative detection performance of the networked radar.(2)The method of space-time resource planning for cooperative detection of networked radar is studied.In order to improve the cooperative detection performance of the networked radar,this thesis proposes a method of cooperative detection area division based on half-power beam width.The simulation results show that the method can meet the spatial resource division requirements of different scenarios by setting the appropriate cooperative detection unit interval coefficient.Since the distances of the same cooperative detection unit to different local radars are different,the signal-to-noise ratios of different receiving channels are different.It is necessary to reasonably allocate the beam dwell time of different radars to improve the overall performance of the networked radar system.Aiming at the above problems,this thesis proposes a beam dwell time allocation scheme.The simulation results show that the optimal local radar combination corresponding to the coordinated detection units at different locations is different,and the beam dwell time of different combinations is different.The beam dwell time of the networked radar system can be effectively allocated,thereby improving the overall performance of the system.(3)The suppression algorithm of the false target in the cooperative detection of the networked radar is studied.Aiming at the registration problem between the fixed coordinate system detection unit and the radar polar coordinate system distance unit,two detection unit division methods are discussed: detection unit division based on distance unit intersection and detection unit division based on square grid.Then,based on the mechanism of false target generation,this thesis analyzes the difference between real target and false target and then proposes a false target suppression algorithm based on binary accumulation and a false target suppression algorithm based on maximum amplitude criterion.The simulation results show that the two false target suppression algorithms can effectively suppress the false targets in the cooperative detection of networked radars.