Structure health monitoring is very necessary for Guangzhou New TV Tower(NGTVT)， which is a 610 meters high high-rise steel structure. This paper applies multiple reference DOFs stabilization diagram algorithm(M-NExT/ERA)， Data-Driven Stochastic Subspace Identification (SSI/Data) and Enhanced Frequency Domain Decomposition(EFDD) to the extraction of modal parameters of GNTVT on the basis of acceleration measurements(GNTVT Benchmark). Then Finite Element Model of GNTVT is modeled using GNTVT， at last the modal parameters results are used for the model updating based on Genetic Algorithm of GNTVT EFM model.