Research On Detection Algorithm Of Cooperative Detection System Based On Spatial Grid Partitioning

In modern science and technology warfare,the use of collaborative detection system is an effective means to deal with low intercept targets.By using spatial diversity and frequency diversity techniques in different dimensions,it is possible to overcome the problem of stealth target detection based on backscattering characteristics.At present,it is still a difficult problem to realize the technology in practical application by using the cooperative detection system to detect and track the target.In the theoretical research phase,many scholars have done a lot of research on the signal-level joint detection technology of the cooperative detection system.However,most of these studies have established the assumption that the channel detection units of the multi-station radar have been idealized.This assumption often is not practical in practical applications.In addition,the detection of the co-detection system,the initial detection of the results often due to multi-channel beam overlap to produce a lot of false targets.In the actual engineering applications,the need for large areas to monitor,consider the calculation of factors,only a rough grid of the grid division.When the target is present,it is desirable to improve the detection and tracking accuracy by fine-grained grid division based on the target information.In this case how to achieve the target tracking,delineation of the monitoring area,to determine the width of the grid are needed to solve the practical problems.In this thesis,a set of cooperative detection system detection algorithm based on spatial grid partitioning is proposed,which includes signal preprocessing,target detection,position estimation and target tracking,as follows:(1)Aiming at the problem of space-time mismatch in multi-channel joint detection of cooperative detection system,a registration criterion of detection unit based on data alignment is proposed.The accuracy of the criterion is higher and the calculation is smaller in the scene with smaller spatial grid width.(2)Aiming at the problem of scene detection and position estimation performance with large spatial raster width based on the data registration method,a detection unit registration criterion based on extreme value search is proposed.The accuracy of the criterion detection is smaller than the increase of the grid width,and the position estimation accuracy is better than the data alignment criterion in the larger grid width.(3)The problem of generating false targets for multiple channel detection units is studied,and the false object elimination algorithm based on logic decision and the virtual target aggregation based on Clean are studied.In the case where the width of the grid is not much larger than the distance unit,the combined use of the two methods can effectively eliminate the false target.(4)Aiming at the problem that the large-scale surveillance area is difficult to track and track through the offline space grid,a target detection and tracking algorithm based on dynamic spatial grid partitioning is proposed.The method reduces the computational complexity under the condition that the tracking precision is kept constant.The computational methods proposed in this paper are verified by simulation,and the effectiveness of the cooperative detection system based on spatial grid partitioning is proved.