The results show that in the simulation of non-linear system model, this framework for Bayesian predictive filter can implement the tracking of simple motion and the orientation prediction.
实验结果表明,在非线性系统模型的仿真中,贝叶斯预测滤波框架能够较好的实现对简单物体运动的跟踪和方位的预测。
This paper proposes an improved adaptive Kalman filter based on researching on these filter theories and using DSP and FPGA implement a radar data processing system.
本文的工作是在研究几种滤波算法的基础上提出了一种改进的自适应卡尔曼滤波,并采用DSP和FPGA等器件实现了某雷达信号处理机的数据处理部分。
This paper proposes an improved adaptive Kalman filter based on researching on these filter theories and using DSP and FPGA implement a radar data processing system.
本文的工作是在研究几种滤波算法的基础上提出了一种改进的自适应卡尔曼滤波,并采用DSP和FPGA等器件实现了某雷达信号处理机的数据处理部分。
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