基于DSP5509A的自适应系统识别的实现

Implementation of adaptive system identification based on DSP5509A

在数字信号处理中,自适应系统识别是处理一些未知系统的重要方法。文中在论述自适应滤波器的基本原理和LMS算法的基础上,阐述了自适应系统识别的实现原理。然后在DSP的集成开发环境下设计一个随机白噪声信号发生器,用来产生自适应滤波器和未知系统所需的测试数据。最后采用FIR滤波器作为待识别的未知系统,并利用TI公司的DSP TMS320VC5509A芯片实现了自适应系统识别。实验结果表明,该方法实现比较简单,且能达到信号处理的高精度和高效性。

In the digital signal processing, adaptive system identification is an important method to deal with some unknown system. By discussing the basic principles of adaptive filter and the basic principles of LMS algorithm, the principle and the implementation of adaptive system identification is expound in this paper. And then in the development environment of DSP integrated, a random white noise signal generator is designed which is used to generate the required test data of the adaptive filter and unknown system. Finally, a FIR filter is used to be identified as the unknown system and the recognition of the adaptive system in implemented by using the DSP TMS320VC5509A chip of TI. The experimental results show that this method is simple, and it can achieve high precision and efficiency of signal processing.