In a communication channel between UAV-to-Ground in Low Altitude Platforms (LAP) there are many parameters to study like the fading. The fading effect occurs when the deviation or attenuation suffered a modulated signal through in certain telecommunications propagation media. Changes in position will cause both time dispersion of the signal and time variance of the channel, in this case appear which is known by small and large scale fading. Time dispersion of the signal leads to frequency selective or flat fading whereas time variance results in fast or slow fading. Several models are considered for small scale fading like the Rician fading, which occurs in line-of-sight conditions and Rayleigh fading derived in non-line-of-sight. The Rician fading has an important parameter, the Rician K-factor, which determines the ratio of line-of-sight components to scattered waves. There are several methods to estimate the Rician K-factor: the moment's method, the maximum likelihood estimator and the fitting curve method. The aim of this thesis is to see the behaviour of the Rician K-factor in a UAV-toGround communication link for different altitudes. The conclusions about which is the more accurate method and explain how the Rician K-factor varies for each altitude are explained.