A spectrum identification method for UM71 signal based on grey relational analysis

The thesis presents a spectrum identification method for UM71 signal based on grey relational analysis. The method connects the grey relational analysis and railway cab signal decoding, through calculating the grey relationship grade between the input signal spectrum vector and standard frequency spectrum feature vector of UM71 signal modulating frequency, getting the mapping relation of input signal and each UM71 modulating frequency, and it is the principle of decoding UM71 signal, and we can get the right Identification result. Comparing with other traditional signal frequency spectrum, this method sufficiently uses grey relational analysis which is easily carrying out and easy algorithm. The identification is based on the position and amplitude information of UM71 signal carrier frequency and primary side frequency. The experiment proved that the method has a strong anti-interference ability, and it can fulfill the need of railway.