The invention belongs to the technical field of a multiple-input-multiple-output system and discloses a MassiveMIMO channel modeling method based on measured data. According to the method, a confocal elliptical model is established, and base station and dipole parameters are set; a birth and death rate of a scattering cluster is acquired according to the measured data to acquire a nine-state Markov chain state transfer probability matrix, an evolution process of the scattering cluster on an antenna array axis is described through utilizing a Markov chain, and characteristic parameters of each scattering cluster are distributed; and lastly, according to the geometric position relationships among the parameters, phase and Doppler frequency under the stadia and non-stadia conditions can be calculated, and channel impulse response is generated. The method is advantaged in that the birth and death process of the scattering cluster on the antenna array can be accurately described, non-stationary characteristics of a MassiveMIMO channel is reflected, spherical wave characteristics can be described, moreover, computational complexity is relatively low, the channel impulse response can be generated in relatively short time, and channel simulation efficiency is improved.