Parameter Estimation of Non-linear Dynamic Channel Based on UKF

The current research results of cognitive radio are too many, people have made a lot of efforts to estimate the parameters of cognitive channel. But the channel noise model in these articles is Gauss noise model, this model is different from the reality of the channel. There is a certain deviation between the research result and the actual under this condition. For this problem, in this paper, a channel model based on Colored noise model is proposed, which is based on the steady state distribution as the noise model. Realization of channel parameter estimation by UKF algorithm, After the study, it is found that UKF has better effect on the estimation of the parameters of the nonlinear dynamic channel than the other algorithms.