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这里提出一种基于CAZAC码的快速识别系统的方法。与传统的系统识别方法不同的是,其未知系统用滤波器模拟,输入序列采用自相关性强,互相关性极弱的CAZAC码,通过测量系统输出信号,并利用相关检测对系统进行辨识。与现有的方法相比,该方法能够更加快速、准确地对系统进行识别。最后,通过Matlab仿真实验,验证了该方法有效性。在此基础上,利用TMS3205502平台对该方法进行了DSP实现,并给出了最终的仿真结果。
Here is a method based on CAZAC code to quickly identify the system. Different from the traditional method of system identification, the unknown system is modeled by a filter. The input sequence adopts CAZAC code with strong self-correlation and very weak cross-correlation. The system outputs the signal through the measurement system and uses the correlation detection to identify the system. Compared with the existing methods, this method can identify the system more quickly and accurately. Finally, the simulation results show that the method is effective. On this basis, the method of DSP implementation using TMS3205502 platform, and gives the final simulation results.