摘要
针对强跟踪滤波器(STF)存在要求非线性函数连续可微和强非线性时滤波性能不佳等理论局限性,提出一种基于Unscented变换的强跟踪滤波器(UTSTF).UTSTF基于STF的理论框架,采用Unscented变换代替STF中的雅可比矩阵计算;UTSTF兼具STF鲁棒性强、Unscented变换精度高、实现简单的优点,有效克服了STF的理论局限性.仿真实例验证了UTSTF的有效性.
Strong tracking filter （STF） has some theoretical limitations including bad filtering performance in strong nonlinear and calling for nonlinear function continuous and differentiable. Therefore,STF based on unscented transformation （UTSTF） is proposed. UTSTF views STF as the basic theory framework and makes unscented transformation take place of calculating nonlinear function Jacobian matrix,so it combines strong robustness of STF with high accuracy and easy implementation of unscented transformation. The simulation examples show the effectiveness of UTSTF.
出处
《控制与决策》
EI
CSCD
北大核心
2010年第7期1063-1068,共6页
Control and Decision
基金
国家自然科学基金项目(60974104)
