Study Of The Neural Network Based On Communication Signal Modulation-recognition Problem

Communication has developed with a rapid pace, and,the modulation mode of communication signals are changing outstanding especially. The study on modulate classification of communication signal has also been developing (the ensuing chapters are abbreviated as: Modulation -recognition problem). Modulation -recognition has played an important role on signal confirm, interfere, discern, communication field.Neural network have an advantage on distributed store of information, extensive parallel processing and highly fault-tolerant characteristic .All these advantages can be used in the modulation-recognition. The learning ability and getting fault-toleranthave distinctive qualities to the uncertain modulation -recognition.The system of BP network mode recognition has been proceed in this text,Key research on optimum BP network has been realized here. Then improving algorithm is carried out, the artificial result is analyzed and discussed. Finally,other kinds of network are also studied.Experiments reveal that there are neural feasibility and superior performance in application of network method in signals modulation -recognition field.