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To obtain high-precision active noise control (ANC) reference signal, a reconstruction method of interior noise signals that based on wavelet transform and BP neural network was proposed. Based on the noise signal sources collected in a vehicle, the key point signals affecting the interior noise were determined using the acoustic transfer path analysis (TPA) method. In view of the complexity nonlinear relationship between the noise source signals and interior signals, a BP neural network reconstruction model was established. And then wavelet decomposition method was used to reduce the non-stationarity of signals. Comparing the reconstruction effect, a BP neural network was established at the same time. The results show that the average absolute error between the proposed method reconstruction values and the measured values is smaller than that of the BP neural network. And the average absolute error of BP network reconstruction model based on wavelet transform is less than 0.01. This method can be used to reconstruct the noise signals on passenger ear-sides accurately and effectively.