CAJ | 학술논문

在雷达信号处理领域，运动目标跟踪问题一直是研究的重点，涉及的非线性滤波问题是难点所在；以Rao-Blackwellized粒子滤波（RBPF）算法为基础，针对其应用于雷达目标跟踪时产生的若干问题进行研究，为提高算法的收敛性能及滤波精度，对其中重采样算法进行改进，利用数字仿真对更改后的算法进行验证，经过表明更改后的RB-PF算法在各个方面均有较大程度改善。
재뢰체신호처리영역，운동목표근종문제일직시연구적중점，섭급적비선성려파문제시난점소재；이Rao-Blackwellized입자려파（RBPF）산법위기출，침대기응용우뢰체목표근종시산생적약간문제진행연구，위제고산법적수렴성능급려파정도，대기중중채양산법진행개진，이용수자방진대경개후적산법진행험증，경과표명경개후적RB-PF산법재각개방면균유교대정도개선。
In radar signal processing field,moving target tracking is always the focus.And it involves the nonlinear filter problem which is the difficult point.In this paper,we focused on the radar target tracking problem based on the Rao-Blackwellized particle filter algorithm.To improve the convergence and the pre-cision of the filter algorithm,resample algorithm in the RBPF algorithm is improved,which is validated by numerical simulation.The simulation result shows that RBPF algorithm is improved in every aspect.