摘要： 针对雷达目标跟踪中的某一类非线性问题，传统处理方法都是先行线性化再进行处理，但当线性化后的测量噪声相关性较大时则无法满足要求。为此，应用RBPF粒子滤波进行研究。在仿真实验中对RBPF多权值的情况进行探讨，提出一种可行的处理方法。对RBPF在噪声相关性较大时的性能进行分析，并讨论其在时间推移时的相对估计误差变化情况。
关键词:
RBPF粒子滤波,
Kalman滤波,
目标跟踪
Abstract: Rao-Blackwellised Particle Filtering(RBPF) is a class of particle filter. A particular nonlinear radar target tracking problem is analyzed in detail, this kind of problem is often dealt with linearization and it is failed when correlation between measurement noise is too big. In this simulation test, multi-weight of RBPF is discussed and a doable way is proposed, the performance of RBPF under much correlation of noise is analyzed, relative estimate error of RBPF is also discussed when time processes.
Key words:
Rao-Blackwellised Particle Filtering(RBPF),
Kalman filtering,
target tracking
中图分类号:
赵丰, 汤磊, 陈国友, 赵宗贵. RBPF粒子滤波在目标跟踪中的应用研究[J]. 计算机工程, 2011, 37(3): 149-151.
DIAO Feng, SHANG Lei, CHEN Guo-You, DIAO Zong-Gui. Research on Application of RBPF in Target Tracking[J]. Computer Engineering, 2011, 37(3): 149-151.