Maximum kurtosis estimation of the optimal filter and convergence step size parameter in blind adaptive TEQ for multicarrier systems - Archive ouverte HAL
Journal Articles European Transactions on Telecommunications Year : 2009

Maximum kurtosis estimation of the optimal filter and convergence step size parameter in blind adaptive TEQ for multicarrier systems

Abstract

The effective channel channel shortening equalisers (CSE) using blind adaptive algorithms have run into great interest. These are very important for orthogonal sub-carrier maintained for multicarrier modulation (MCM) and reduce consequently the complexity of multi-users detection algorithms. We review in this paper the evolution from classical equalisation to the channel shortening equalisation. We utilise the calculus of maximum kurtosis for determining the optimal time domain equaliser (TEQ) and synchronisation delay for the maximum shortening signal to noise ratio (MSSNR) algorithm. We compare the optimal filters obtained by other methods and the proposed method based on maximum kurtosis.

Dates and versions

hal-00471826 , version 1 (09-04-2010)

Identifiers

Cite

H. Bellahsene, Jean-Michel Rouvaen, M. Djeddi. Maximum kurtosis estimation of the optimal filter and convergence step size parameter in blind adaptive TEQ for multicarrier systems. European Transactions on Telecommunications, 2009, 20, pp.311-321. ⟨10.1002/ett.1291⟩. ⟨hal-00471826⟩
47 View
0 Download

Altmetric

Share

More