Research On Detection And Tracking Algorithm Of Maneuvering Weak Targets

In modern warfare,the targets detected by radar often have the characteristics of high speed and high mobility,which brings great difficulties to modern radar detection and tracking technology.Aiming at the problems of distance walking and Doppler walking encountered in traditional target accumulation and how to accurately track maneuvering multiple targets in a dense clutter environment,this paper studies the long-time coherent accumulation algorithm,acceleration and long-time coherent accumulation algorithm for variable acceleration maneuvering weak targets and maneuvering multi-target tracking algorithm.The research work of this paper is as follows:1.The problem of linear distance walking for a uniform weak target.In this paper,a keystone transformation algorithm based on fuzzy number correction is proposed to correct the linear distance walking of the target in the long-time coherent accumulation process.Under the premise of not being limited by the target movement,the linear distance walking of the target can be completely corrected.For the problem that the target Doppler fuzzy number needs to be known when using the keystone transform to compensate the target,this paper uses the single target fuzzy number correction method and the multi-target fuzzy number correction method;the simulation experiments and measured data results prove that the algorithm can effectively remove the uniform weak target.Linear distance walking,and is suitable for the scene of uniform weak single target and multi-target,and lays the foundation for the following research on high-order distance walking and Doppler walking problems of maneuvering weak targets.2.High-order range walk and Doppler walk problems for accelerating and variable acceleration maneuvering weak targets.This paper firstly presents a long-time coherent accumulation algorithm for accelerating and variable acceleration maneuvering weak targets based on keystone transform and matched filter bank.Then,a matched filter function based on acceleration and variable acceleration is designed to correct the high-order distance walking and Doppler walking of the target caused by acceleration and variable acceleration,can realize the coherent accumulation of target energy.Simulation results it is proved that the algorithm is effective in correcting the movement of moving targets with acceleration and variable acceleration,and it is suitable for maneuvering weak single-target and multitarget scenarios;time coherent accumulation algorithm,this algorithm first uses slow time series inversion transformation to correct the linear distance walking caused by velocity and high-order distance walking and Doppler walking caused by variable acceleration,and then design a multi-linear function to correct the acceleration band the second-order distance walking and linear Doppler walking can realize the coherent accumulation of target energy.The simulation results show that the proposed algorithm is effective in correcting the walking of moving targets with variable acceleration,and it is suitable for maneuvering weak single-target and multiple-target scenarios;Finally,from the comparative analysis of algorithm complexity and detection performance,it can be seen that the detection performance of the two algorithms in this paper is better than that of the PHAF algorithm,the RFT algorithm,the RFRFT algorithm and the RFRAF algorithm.Compared with the GRFT algorithm,it has lower computational complexity and second algorithm does not require parameter search.3.Aiming at the tracking problem of maneuvering multiple targets,this paper studies from three aspects: reducing the computational complexity of the algorithm,reducing the OSPA distance error and improving the estimation accuracy of the number of targets.Firstly,the GMPHD filtering algorithm is extended by using the EKF and UKF algorithms and compared with the GMPHD filtering algorithm in simulation experiments.On the basis of this research,this paper presents a UKF-GMPHD multi-target tracking algorithm based on Doppler information,which automatically realizes the update of the intensity function of the new target,and uses the UKF algorithm to update the Gaussian component,thereby reducing the prediction error for the measurement equation.Through the comparative analysis of simulation experiments,the algorithm used in this paper has lower algorithm complexity,smaller OSPA distance error,and more accurate target number estimation,that is,higher tracking accuracy.Therefore,the algorithm used in this paper has the advantages of low complexity,small OSPA distance error and high tracking accuracy.