%0 Electronic Article
%A Lihong Yu
%A Jiaxiang Zhao
%K norm minimisation problem
%K greedy algorithm
%K finite-impulse-response decision feedback equalisers
%K intersymbol interference
%K hybrid optimisation method
%K sparse FIR multiple-input multiple-output DFEs
%K nonzero tap positions
%K sparse FIR DFEs
%K hybrid optimisation approach
%K nonzero taps
%X The finite-impulse-response (FIR) decision feedback equalisers (DFEs) with a large number of taps are used to eliminate the intersymbol interference. In this Letter, a hybrid optimisation approach based on reweighted ℓ 1-norm minimisation and the greedy algorithm is proposed to get a better estimation of the non-zero taps. First, the authors transform the problem of designing sparse FIR multiple-input multiple-output DFEs into an ℓ 0-norm minimisation problem, then use the proposed approach, which involves two stages as the preliminary selection of non-zero tap positions and re-optimisation with non-zero taps, to determine the positions and values of the non-zero taps for the FIR DFEs. The simulation results demonstrate the effectiveness of the proposed hybrid optimisation approach.
%@ 0013-5194
%T Hybrid optimisation method of sparse FIR DFEs based on reweighted *ℓ* _{1}-norm minimisation and greedy algorithms
%B Electronics Letters
%D April 2019
%V 55
%N 8
%P 491-493
%I Institution of Engineering and Technology
%U https://digital-library.theiet.org/;jsessionid=435ibjm7gglkp.x-iet-live-01content/journals/10.1049/el.2018.7438
%G EN