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For the operational noise of a medium-low speed maglev train, this paper proposes a method to achieve sound source identification based on characteristic frequency extraction and coherence analysis through continuous cross wavelet transform. Field tests were conducted on a main line in China on the operational noise, vibration and traction current of linear induction motor in the medium-low speed maglev train. The proposed method was applied to the test data to analyze the operational noise properties. The characteristic frequencies were extracted from all the three test target signals for coherence analysis through continuous cross wavelet transform, which verifies the transmission characteristics of electromagnetic noise. The coherence spectrum of noise-vibration signal and current-vibration signal showed that the operational noise in the starting and braking stages mainly originates from the high-frequency vibration excited by the high-frequency harmonics in the traction current of the traction motor. [ABSTRACT FROM AUTHOR]