Research On Multi-frame Detection Technique Of Airborne Radar System

The airborne platform radar target detection technology has important significance in the application of modern military warfare.As advanced developments have been progressed as regards stealth technology and electronic interference technology,the challenges of airborne radar target detection are becoming more and more serious.The detection of weak targets in complex environments has become a technical problem to be solved in the contemporary airborne radar system.MFD technology jointly processes the echo signals of multiple scanning periods received by the radar to accumulate the target energy and improve the detection ability of weak targets.However,due to the radar system constraints,the traditional MFD technology can only strictly measure multiple targets.The echo signals of the scan cycle are jointly processed,resulting in the failure of the conventional MFD technology in the airborne platform radar system.The multi-coordinate system of the carrier platform is not uniform,the misalignment between the measurement at each time,and the "non-one-to-one mapping" of the state space and the measurement space become the problems of the accumulation of the value function.This paper conducts theoretical analysis and algorithm research on these problems.The proposed method is verified by simulation experiments.The specific research contents are as follows:This paper mainly focuses on the problems of MFD above,and the main contents are as follows:1.The basic principle of MFD technology of traditional ground-based radar system is studied.The radar measurement model and target motion model are established.The value function accumulation method based on dynamic programming method is derived.The engineering application processing method and flow are given.Finally,the simulation experiment is carried out to verify the effectiveness of MFD algorithm for weak target detection.2.This paper studies the working mode of the airborne platform radar system and the relationship between measurement and state,then analyzes the issues of the MFD technology in airborne platform radar.3.Aiming at the measurement misalignment caused by the moving of airborne radar platform,a MFD algorithm for airborne radar platform based on point set is proposed.The coordinate compensation model of airborne platform radar measurement data is deduced to eliminate the influence of platform movement on multi-frame accumulation.A multi-frame accumulation method based on point set is designed.This method can improve the detection performance of weak targets,and requires less computation.The simulation results show that the proposed algorithm is effective and practical for dim target detection of airborne platform radar.4.Aiming at the problem of "non-one-to-one" correspondence between measurement space and state space in airborne radar system,a MFD algorithm for airborne platform radar based on discrete space is proposed.State space is established in standard coordinate system,studies mapping modeling method between state space and radar measurement space,and achieves the purpose of detecting the weak target by accumulating the value function in the discrete space,making full use of the radar echo measurement,further improved target detection capabilities.