摘要
UKF算法中,Sigma采样点体现对均值和方差的传递精度。文中利用一种新的采样策略———蒙特卡洛模拟法采样策略,生成Sigma点集,再对每个Sigma点进行非线性变换,变换后仍通过非线性卡尔曼滤波公式计算,利用一个仿真算例验证采样策略的适用性。
In Unscented Kalman Filtering algorithm, transmission precision reflects Sigma points. It presents a new method-Monto Carlo sampling strategy in order to generate a set of Sigma points, each of which needs to be transformed in nonlinearity, this using nonlinear Kalman Filtering algorithm. Finally, a simulation example is used to verify the applicability of this method.
出处
《测绘工程》
CSCD
2013年第1期12-15,共4页
Engineering of Surveying and Mapping
基金
国家自然科学基金资助项目(41174032)
