Channel parameter estimation method based on improved SAGE algorithm

Abstract

The invention discloses a channel parameter estimation method based on an improved SAGE algorithm. The method comprises the steps of processing receiving signals by use of a continuous interference elimination principle and carrying out initialization estimation by use of an incoherent maximum likelihood estimation method; synthesizing initialized parameter results into simulated receiving signals; defining the difference between the original receiving signals and the obtained simulated receiving signals as an Euclidean distance, and calculating a partial interference factor by assuming that the Euclidean distance is the minimum; substituting the partial interference factor into a corresponding formula, processing the receiving signal by use of a partial interference elimination mode, and obtaining a final initialization result by use of the incoherent maximum likelihood estimation method; calculating a Z function, substituting the final initialization result into the corresponding formula, carrying out iteration update, and finding a point which enables the value of the Z function to be maximum as a reference estimation result. According to the method provided by the invention, the calculation precision is high; under the condition that the integral convergence performance is improved, the channel features of actual channels can be estimated relatively accurately; the calculation effect is good; and the defects in the prior art are solved.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to a method for estimating channel parameters based on an improved SAGE algorithm, which can be used to estimate channel parameters with better convergence performance in the case of multipath signals and characterize actual channel characteristics. Background technique [0002] With the continuous development of wireless communication technology, wireless channels, as the basis of wireless communication systems, are of great significance to the formulation of communication system standards, the design of new wireless systems, and the selection of wireless equipment and network layout. Therefore, it is necessary to extract as close as possible to the actual propagation environment. Accurate channel parameters. Due to the dynamic nature of wireless channels, parameters in the wireless propagation environment change rapidly. In order to ensure the efficient...

AI Technical Summary

Problems solved by technology

Professor Roy proposed a parameter estimation method based on the rotating subspace invariance method (ESPRIT), which is often used to estimate the angle of arrival of the incident wave or the harmonic frequency, but the error of this algorithm is relatively large (Roy R,KailathT. ESPRIT-estimation of signal parameters via rotationalInvariance techniques[J].IEEE Trans.AP,1989,37(7):984-995P)

Professor Fleury proposed a channel estimation method based on the Spatial Alternate Generalized Expectation Maximization (SAGE) algorithm, but the overall performance of this algorithm such as accuracy, convergence speed, and number of iterations needs to be improved (Fleury B H, Tschudin M, Heddergott R, et al. Channel parameter estimation in mobile radio environments using the SAGE algorithm[J].Selected Areas in Communications IEEE Journal on,1999,17(3):434-450)

Images