Low-Altitude Small Target Detection Technology Based On Data Processing And Signal Processing

In modern society,the application of radar has been greatly expanded.Although radars of various uses emerge in an endless stream,the most basic task of radar is to detect and track various targets.However,with the development of various stealth aircraft technologies in the military field,a large number of high-stealth performance aircraft represented by F22 in the United States have emerged,while various non-military drones represented by “DJI” have emerged in the non-military fields.Commercial and civilian small aircraft have also been booming.This makes it even more important to find and track these small RCS targets.In the face of these small targets,the classic radar signal processing process is powerless.On the other hand,in addition to small RCS,military stealth vehicles often have the ability to penetrate at low altitudes;civilian small aircrafts are naturally capable of flying at low altitudes.To combine the above two reasons,finding and tracking low-altitude small targets is a problem that needs urgent research.First of all,a brief introduction to the topic background,etc.Then,by analyzing and studying the traditional detection and tracking system,we pointed out the shortcomings of the detect before track method and introduced a new detection and tracking system based on this,which is called the TBD technology.Next,the low-altitude target detection problem is studied,and a phase-based clutter-based technique is proposed to solve the self-shadowing problem that is difficult to avoid in existing low-altitude target detection technologies.Then several common track initiation algorithms are introduced.First of all,it introduces several basic track initiation algorithms and their implementation methods and make lab of MATLAB.The effects of these basic track initiation algorithms are compared by analyzing the simulation results.In the sparse and intensive environment of false targets,the different effects of these algorithms and their adaptability are pointed out.The simulation results show that the modified logic method has the best comprehensive performance,whether in the sparse or dense environment of false targets.However,in the case of intensive false targets,there are more false trajectories in the track initiated by the modified logic method.Then several commonly used improved algorithms are introduced,and the track initiation algorithm using “Doppler information” is simulated.The analysis results show that this algorithm canachieve ideal results even when there are more false traces.Then a method of track initiation using track quality and a modified logic method is proposed.The simulation shows that this method can achieve better results and can effectively reduce the occurrence of false trajectory on the basis of the modified logic method.In addition,an integrated technology that uses tracking information to optimize detection techniques for small targets is also presented.Finally,in combination with a actual project,a method for implementing a Qt-based data processing and display system is described in detail,which lays a practical foundation for an integrated detection technology based on signal processing and data processing.