Various approaches have been proposed in the.
Trellis based equalization.
In the original system invented by douillard et al.
Such channels have a large channel memory length but only a small number of significant channel coefficients.
The viterbi algorithm is an effective solution to the problem of estimating the inputs to an fsm based on a noisy observation of the fsm output and it is used in a wide variety of applications beyond equalization of isi channels including error control decoding for convolutional and trellis codes and demodulation of continuous phase modulation.
For low complexity equalization of sc fdma signals mmse linear filtering can be applied cf.
3 5 which will serve also as a preprocessing stage for the trellis based equalization scheme presented in section iv.
Sparse intersymbol interference isi channels are encountered in a variety of high data rate communication systems.
Due to the large channel memory length the complexity of maximum likelihood detection e.
1995 the data are protected by a convolutional code and the receiver consists of two trellis based detectors one for the.
Equalization based on linear filtering with decoding.
Trellis based equalization with a reduced number of states might be adopted because it offers a very good tradeoff between performance and complexity.
Due to the large channel memory length the complexity of maximum likelihood detection e g by means of the viterbi.
Timum trellis based equalization with a reduced number of states might be adopted because it offers a very good trade off between performance and complexity.
For a reduction of the number of states of the trellis dia gram of mlse the principles of trellis based equalization and decision feedback equalization dfe might be com bined 2.
The concatenation of an equalizer and a viterbi 1967 decoder is a powerful means for improving receiver performance in wireless communication systems.
Through simulation and analytical results we show that the performance of the new approaches is similar to the trellis based receiver while providing large savings in computational complexity.
We study the turbo equalization approach to coded data transmission over channels with intersymbol interference.
Furthermore new approaches are proposed to combat the phase ambiguity and the.
Principles and new results abstract.
Moreover this paper provides an overview of the design alternatives for.
In order to limit the required number of states of the viterbi algorithm va the cir might be shortened by linear prefiltering.
In this paper trellis based equalization of sparse isi channels is revisited.
Trellis based soft output adaptive equalization techniques for tdma cellular systems abstract.
