In the wireless data communication network, the array element inter-symbol interference cause the non-stationary characteristics of channels and it also has a channel imbalance effect, so a channel equalization design is required to improve the performance of data transmission of wireless network. Traditional methods use Hilbert transform spread-spectrum for communication channel equalization and discrete data analysis. Due to the expansion of multipath channel which causes inter-symbol interference, and in order to improve the performance of channel equalization, a wireless network channel equalization algorithm based on non-stationary time-frequency analysis is proposed. This algorithm proposes a space multipath channel model for wireless network data transmission and uses time-frequency analysis method to suppress the inter-symbol interference of signal communication. It also uses this extracted time-frequency characteristics for orthogonal frequency division multiplexing decomposition of communication channel. Through time-frequency characteristic analysis, the phase deviation of spatial symbol is reorganized and the path deviator of phase shift is removed to realize channel equalization. Simulation results show that this proposed algorithm has a good performance for channel equalization. It can effectively suppress the inter-symbol interference of communication channel and reduce the bit error rate of the wireless data communication network to improve the quality of the communication.