Abstract
In this letter, we study the receiver design for a coded faster-than-Nyquist signaling system in time-variant intersymbol interference channels, also known as doubly selective channels. The conventional minimum mean squared error (MMSE) equalizer results in high complexity. We develop a low-complexity iterative message passing algorithm toward this end. By reformulating the problem into a linear state-space model, Gaussian message passing is performed on a vector-form factor graph. Furthermore, we consider the imperfect channel information scenario to improve the robustness of the proposed algorithm. Simulation results show that the proposed algorithm outperforms the variational inference method, and it performs close to the frequency-domain MMSE equalizer with much lower computational complexity.
Original language | English |
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Article number | 7552441 |
Pages (from-to) | 584-587 |
Number of pages | 4 |
Journal | IEEE Wireless Communications Letters |
Volume | 5 |
Issue number | 6 |
Early online date | 25 Aug 2016 |
DOIs | |
Publication status | Published - Dec 2016 |
Externally published | Yes |
Funding
This work was supported in part by the National High Technology Research and Development Program of China under Grant 2015AA01A709, and in part by the National Science Foundation of China under Grant 61421001, Grant 61201181, and Grant 61471037.
Keywords
- doubly selective channel
- Faster-than-Nyquist signaling
- frequency-domain equalization
- message passing