Recognition of digital modulation signals based on statistical parameters

To overcome the weak noise immunity of signals' transient characteristic parameters in domain of modulation recognition, this paper proposes a new expression of transient characteristic parameters and gives the flowchart of recognition program,determination of the thresholds. Thus, ASK2, ASK4, ASK8, PSK2, PSK4, PSK8, FSK2, FSK4 and FSK8 signals can be classified. When SNR=10dB, the average identification probability of 96% can be achieved. The simulations show that transient characteristic parameters with new expression have strong anti-noise ability, they can be as stable and robust signatures.