Blind estimation of complex exponentials basis frequencies of time-varying channels
时变信道复指数基频率盲估计

In the blind identification of time-varying channels using the basis expansion models, the identification can transform to blind identification of time invariant channels by estimating the complex exponentials basis frequencies.In order to estimate the complex exponentials basis frequencies accurately, this paper aimed at two types of observed data under the condition of various input and proposed the methods of exploiting specific second order cycle moment and fourth order cycle accumulation for estimating the complex exponentials basis frequencies.Compared with traditional method,the basis frequencies components were much more easily extracted by the method based on specific second order cycle moment;otherwise,the method based on fourth order cycle accumulation had better performance resistance to noise than the fourth order cycle moment.Simulation results prove the effectiveness of the proposed two algorithm.