Channel-Estimation

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.