Abstract: Any priori knowledge on non-line-of-sight (NLOS) beacons can significantly improve the localization accuracy. A prior information known and low altitude surface channel characteristics reconstructions model is established by analyzing the characteristics of the non-line-of-sight environment in a domestic airport surface and referencing mobile communication and air channel research. Through deducing the analytical formula of Doppler spectrum that incident angle in Gaussian distribution we got the spread of frequency that produced by relative motion, and we describe the relevance of the established channel by contrasting the actual value and theoretical value of the channel correlation coefficient. Channel evaluation is also done by analyzing channel capacity in different antenna configuration to compare priori knowledge. The simulation results show that the established channel model can accurately describe the characteristics of the non-line-of-sight environment in the airport surface, and it can be used for the design of multilateration (MLAT) system and the research of time difference of arrival (TDOA) localization algorithm.