论文信息 - A Fast Noniterative Method for Adaptive Channel Equalization

A Fast Noniterative Method for Adaptive Channel Equalization

The noniterative method of adaptive channel equalization proposed by Butler and Cantoni [1] is investigated. Its start-up time is improved remarkably by choosing the period of the training sequence judiciously and performing the estimation of channel parameters exactly over one period. The resulting version of the algorithm is as fast as the fastest known iterative algorithms, such as Godard's Kaiman algorithm [2].

Melek D. Yücel | N. Tepedelenlioglu | Y. Tanik

[1] Dominique Godard,et al. Channel equalization using a Kalman filter for fast data transmission , 1974 .

[2] Lennart Ljung,et al. Application of Fast Kalman Estimation to Adaptive Equalization , 1978, IEEE Trans. Commun..

[3] K. H. Mueller,et al. Cyclic equalization — a new rapidly converging equalization technique for synchronous data communication , 1975, The Bell System Technical Journal.

[4] Antonio Cantoni,et al. Noniterative Automatic Equalization , 1975, IEEE Trans. Commun..

[5] S. T. Alexander,et al. Channel Equalization Using Adaptive Lattice Algorithms , 1979, IEEE Trans. Commun..

[6] Shahid U. H. Qureshi. Fast start-up equalization with periodic training sequences , 1977, IEEE Trans. Inf. Theory.

[7] Shalhav Zohar,et al. The Solution of a Toeplitz Set of Linear Equations , 1974, JACM.

[8] Richard D. Gitlin,et al. Self-Orthogonalizing Adaptive Equalization Algorithms , 1977, IEEE Trans. Commun..