Channel Estimation

This repository simulates an FBMC and OFDM transmission over a doubly-selective channel, including doubly-selective MMSE channel estimation in combination with interference cancellation. All figures from R. Nissel et al. “Doubly-Selective Channel Estimation in FBMC-OQAM and OFDM Systems”, IEEE VTC Fall, 2018, can be reproduced.

Supported Waveforms:

OFDM
FBMC, channel estimation: auxiliary symbols
FBMC, channel estimation: data spreading

Note that I use a matrix based system model. This makes the derivation of the correlation matrices relatively easy but also requires a large memory. If one wants to simulate over a higher bandwidth, either the system model must be split into smaller chunks, or the matrices must be explicitly expressed by summations.

Requirements

We used Windows 7 (64bit) and Matlab R2013b/2016a, but newer versions (and some older) should also work.

Basic Properties

Our doubly-selective channel estimation method performs close to perfect channel knowledge:

The first iteration step greatly improves the BER, which soon saturates:

Reproducible Figures

All figure from “Doubly-Selective Channel Estimation in FBMC-OQAM and OFDM Systems” can be reproduced. The figure numbers are the same as in the paper.

Figure 1: Just an illustration.
Figure 2: Please run DoublySelectiveChannelEstimation.m. To truly reproduce Figure 2, the lines 42-46 must be uncommented (increases the simulation time).
Figure 3: Please run DoublySelectiveChannelEstimation.m. To truly reproduce Figure 3, the lines 42-46 must be uncommented (increases the simulation time).
Figure 4: Please run DoublySelectiveChannelEstimation.m. To truly reproduce Figure 4, the lines 42-46 must be uncommented (increases the simulation time).
Figure 5: Please run DoublySelectiveChannelEstimation.m. To truly reproduce Figure 5, the lines 42-46 must be uncommented (increases the simulation time).

Additional Explanations for Channel Estimation in FBMC

The Matlab code SimpleVersion_DoublyFlat.m simulates an FBMC and OFDM transmission over a doubly-flat channel, including channel estimation. In particular, it illustrates the auxiliary symbol method and the data spreading approach, with much less overhead than for the doubly-selective channel estimation method. The script is based on my paper “On pilot-symbol aided channel estimation in FBMC-OQAM”.

Please Cite Our Paper

@inproceedings{Nissel2018VTC,
	author    = {R. Nissel and F. Ademaj and M. Rupp},
	booktitle = {IEEE Vehicular Technology Conference (VTC Fall)},
	title     = {Doubly-Selective Channel Estimation in {FBMC-OQAM} and {OFDM} Systems},
	year 	  = {2018},
	pages 	  = {1-5}, 
	month 	  = {Aug},
}

References

R. Nissel, F. Ademaj and M. Rupp, “Doubly-Selective Channel Estimation in FBMC-OQAM and OFDM Systems”, IEEE Vehicular Technology Conference (VTC Fall), Chicago, August, 2018
R. Nissel, and M. Rupp, “On pilot-symbol aided channel estimation in FBMC-OQAM”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Shanghai, China, March 2016.
R. Nissel, M. Rupp, and R. Marsalek, “FBMC-OQAM in Doubly-Selective Channels: A New Perspective on MMSE Equalization”, IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Sapporo, Japan, July 2017.
R. Nissel, S. Schwarz, and M. Rupp, “Filter bank multicarrier modulation schemes for future mobile communications”, IEEE Journal on Selected Areas in Communications, vol. 35, no. 8, pp. 1768–1782, 2017.
R. Nissel, “Filter bank multicarrier modulation for future wireless systems”, Dissertation, TU Wien, 2017.

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