数字调制信号识别系统的DSP硬件实现

针对人工的信号识别设备不足，设计了基于DSP的数字调制信号识别系统．使用希尔伯特变换提取信号的瞬时信息，计算得到3个特征参数值，使用决策树分类器对信号进行分类．设计了用于通信信号识别的硬件系统，并制作了实际电路．在CCS软件环境下，使用c语言编程实现了调制信号自动识别算法．DSP硬件仿真结果表明，在信噪比不小于10dB时，系统平均识别正确率超过了98％．最后使用系统对信号发生器产生的调制信号进行了实时离线识别，实验结果表明，系统具有较好的识别正确率和实时性．

The implementation of digital modulation signal recognition system on DSP hardware

A digital modulation signal recognition system based on DSP was proposed for solving insufficiency of manual signal recognition. The instantaneous information of signals was extracted by Hilbert transform, three characteristic parameters were derived from calculation and the decision tree classifier was used to classify the signals. The hardware system for the recognition of communication signals was designed and an actual circuit was made. Automatic signal recognition algorithm was achieved using the C language in CCS software environment. The results of DSP hardware simulation 98% when the signal-to-noise ratio is show that, the average recognition not less than 10dB. Finally, this accuracy rate of the system is over system is used to off-line identify modulating signals generated by the generator in real time. The results show that the system has a good recognition accuracy and real-time performance.