Using improved Kalman filter to forecast and track. Kalman gain is improved through variable forgetting factor which will avoid the accumulation of errors.
卡尔曼增益通过变遗忘因子进行改进,避免误差的累积。
参考来源 - 基于视频图像的前方车辆检测与追踪A lot of real observation data are used for simulation tests and results show that when forgetting factor is decreased, the one-step forecasting performance can be improved.
针对大量实测数据进行仿真实验，结果表明：减小遗忘因子可以提高一步预测的性能。
参考来源 - 期刊学术社区·2,447,543篇论文数据，部分数据来源于NoteExpress
System parameters were identified by adapting recursion least square method, and the forgetting factor was introduced to improve the model tracing ability of TCS.
利用递推最小二乘法进行了系统系数辨识，并引入遗忘因子以提高TCS的模型跟踪性能。
Using improved Kalman filter to forecast and track. Kalman gain is improved through variable forgetting factor which will avoid the accumulation of errors.
卡尔曼增益通过变遗忘因子进行改进，避免误差的累积。
For this purpose a measure to automatically adjust the value of the "forgetting factor" is proposed.
为此目的提出了一种自动调整其“遗忘因子”值的措施。
应用推荐