Algorithms for Wireless Channel Equalization with Joint Coding and Soft Decizion Feedback
Mostra/ Apri
Data
2001Autore
Dobrescu, Radu
Andone, Dana
Dobrescu, Matei
Metadata
Mostra tutti i dati dell'itemAbstract
The paper proposes a new approach based on Joint Entropy Maximisation
(JEM) using a soft decision feedback equalizer (S-DE) to suppress error propagation. In
its first section, the paper presents the principle of the solution and the theoretical
framework based on entropy maximisation, which allows introducing the soft decision
device without assuming that the channel distortion is Gaussian. Because JE is a nonlinear
function, a gradient descent algorithm is used for maximising. Then an
equivalence of JEM and ISIC (Inter-Symbol Interference Cancellation) is proved in
order to establish that an equalised single carrier system using coded modulation (8-
phase shift keying associated with a convolution code) offers similar performances
when compared with multicarrier modulation. In the second section the paper develop
an adequate receiver model for joint convolution coding and S-DFE. The error
correction decoder uses a standard Viterbi algorithm. The DFE consists of a
feedforward finite impulse response (FIR) filter (FFF) and a feedback filter (FBF)
implemented as a transversal FIR filter. FFF eliminates the precursor ISI, while FBF
minimise the effect of residual ISI using soft decisions by the joint coding and
equalisation process. The third main section of the paper describes the proposed
method for estimating optimum soft feedback using a maximum a posteriori probability
(MAP) algorithm. Then, performances of the soft decision device in a simulated
environment are analysed on a structure with 8 taps for FFF and 5 taps for FBF. Since
the purpose of the evaluation was to compare the proposed S-DFE with a former HEFE,
the coded packet error rate was estimated in a two-path and in a six- path channel.
We have shown that in some case the proposed algorithm offers better convergence rate
and robustness when compared with the corresponding existing algorithm. Some
conclusions on the extension of the S-DFE techniques in vary applications are finally
presented.