The invention discloses a channel
estimation method for enabling a real-time
channel knowledge graph, and belongs to the technical field of information and communication. According to the invention, through low-cost and continuous communication receiving signals, channel statistical information related to a user position is extracted, the channel statistical information comprises PDP and PAP, local
wireless propagation characteristics customized by a user are reflected, and corresponding
frequency domain and airspace
covariance matrixes have low-dimensional structured subspace characteristics; according to the invention, the blank that parameter extraction is neglected in the existing
channel knowledge graph technology is filled; furthermore, two serial MMSE channel
estimation schemes are designed by using a low-dimensional structured frequency-space domain
covariance matrix, and compared with the existing non-customized statistical prior channel
estimation method, the method has the
advantage that the performance is greatly improved. Moreover, experiments show that the scheme provided by the invention still has performance advantages compared with an existing MMSE scheme based on historical sample
covariance when the
pilot frequency overhead is 1 / 4.