基于改进 Kalman 滤波算法的航迹平滑

摘要

通过分析经典 Kalman 滤波算法应用于目标航迹平滑领域的优势和存在的问题，设计了改进的 Kalman 滤波算法，有效解决了噪声干扰、探测中断和跟踪目标运动状态突然变化等情况下的目标航迹平滑问题。实验证明，该算法平滑效果明显，并有效保持了航迹细节特征，提高了数据精度。%Through the analysis of classical Kalman filter algorithm about its advantages and disadvantages when being used in the field of path smoothness,an improved Kalman filter algorithm is proposed,which effectively solves those problems such as disturbing noises,discontinuous detecting,unexpected changes of targets’ movement.Lots of experiments prove that this algorithm is not only effec⁃tive in path smoothness,but also keeps the character of path and enhances the data precision.