Iterative Tensor Receiver for MIMO-GFDM systems
| Autor: | Damir Rakhimov, Andre L. F. de Almeida, Sai Pavan Deram, Bruno Sokal, Kristina Naskovska, Martin Haardt |
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| Rok vydání: | 2020 |
| Předmět: |
Tensor contraction
Computer science MIMO 0207 environmental engineering Structure (category theory) 020206 networking & telecommunications 02 engineering and technology Signal System model 0202 electrical engineering electronic engineering information engineering Zero Forcing Equalizer Tensor 020701 environmental engineering Algorithm Computer Science::Information Theory Communication channel |
| Zdroj: | SAM |
| DOI: | 10.1109/sam48682.2020.9104330 |
| Popis: | In this paper, we present a tensor MIMO-GFDM system model that is based on the double contraction operator. Based on the derived system model, we propose an iterative tensor based MIMOGFDM receiver, that is initialized with the channel estimation obtained via pilots transmitted in the first data frame. The proposed algorithm exploits the tensor structure by using several unfoldings of the received signal sequentially to obtain estimates of the transmitted symbols and the channel. Simulation results show the tensor gain for the proposed algorithm in addition to the improved channel estimation. Numerical results confirm that the receiver requires the same amount of pilots as the Zero Forcing (ZF) receiver, while having a better symbol error rate (SER) performance and a better channel estimation accuracy. |
| Databáze: | OpenAIRE |
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