基于MATLAB的卡尔曼滤波器设计

The Design of Calman Filter Based on MATLAB

针对传统的维纳滤波器实现过程中存在的运算量过于复杂且只能处理平稳和一维信号的缺点,结合卡尔曼滤波相关理论,使用MATLAB软件,设计算法,实现了可以用来处理多维和非平稳的随机信号的卡尔曼滤波器。测试结果表明,卡尔曼滤波器在语音去噪、目标追踪中效果更为显著,功能更加强大。该研究为信号处理技术的进一步发展提供了价值。

In view of the traditional Wiener filter implementation process,there are some disadvantages such as too complex and can only handle stationary and one-dimensional signals,combined with Calman filtering theory,used MATLAB software,designed algorithm which can be used to deal with the multi-dimensional and non-stationary random signalsnamed Calman filter.The test results showed that the effect of the Calman filter was more significant and more powerful in speech denoising and target tracking.The research provided the value of the further development of signal processing technology.