Description: Existing digital signal automatic modulation recognition methods are mostly applied only to memoryless signals, such as PSK, ASK, FSK signals. Will have a memory signal (MSK signal) and non-memory signal into consideration, an improved digital signal automatic identification method. This method is the use of the instantaneous signal statistics as a characteristic parameter, the use of multi-layer neural network as classifier. Computer simulation shows that: When the noise using Gaussian white noise, and signal to noise ratio greater than l5 dB, the recognition rate is higher than 96 when the signal to noise ratio not less than l0 dB, the recognition rate of not less than 90.
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一种改进的数字信号自动识别方法.pdf