Abstract: The dynamic displacement of a structure is of great significance in the field of structural health monitoring and vibration control， but the accurate measurement of the dynamic displacement of the lattice tower remains a challenging task. A data fusion method using high sampling rate acceleration and low sampling rate strain is proposed to realize the accurate reconstruction of the dynamic displacement of the lattice tower. First， a strain-displacement mapping method suitable for lattice towers is developed，and the dynamic displacement of any point can be calculated from the strain of several measurement points. Then the strain-derived displacement and acceleration are combined through the proposed multi-rate Kalman filtering algorithm to further improve the displacement sampling rate and accuracy. A certain transmission tower structure was used as a numerical example， the results show that when the sampling ratio is 100 and the noise signal-to-noise ratio is 5 dB， the reconstruction displacement error is only 2.3% and 2.11%， respectively， which proves that the proposed method has high accuracy. Finally， a true model experiment of a 54.5-mhigh transmission tower was carried out， and the actual measurement results further verified the accuracy and reliability of the proposed method.