Low-complexity graph-based turbo equalisation for single-carrier and multi-carrier FTN signalling
2017
We propose a novel turbo detection scheme based on the factor graph serial-schedule belief propagation
equalization algorithm with low complexity for single-carrier faster-than-Nyquist (FTN) and multicarrier
FTN signaling. In this work, the additive white Gaussian noise channel and multi-path fading
channels are both considered. The iterative factor graph-based equalization algorithm can deal with severe
intersymbol interference and intercarrier interference introduced by the generation of single-carrier and
multi-carrier FTN signals, as well as the effect of multi-path fading. With the application of Gaussian
approximation, the complexity of the proposed equalization algorithm is significantly reduced. In the
turbo detection, Low density parity check code is employed. The simulation results demonstrate that the
factor graph-based turbo detection method can achieve satisfactory performance with low complexity.
Keywords:
- Correction
- Source
- Cite
- Save
- Machine Reading By IdeaReader
21
References
4
Citations
NaN
KQI