OFDM receiver for fast time-varying channels using block-sparse Bayesian learning
| Autor: | Oana-Elena Barbu, Carles Navarro Manchon, Tommaso Balercia, Bernard Henri Fleury, Christian Rom |
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| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Computer Networks and Communications
Iterative method Orthogonal frequency-division multiplexing Computer science 05 social sciences Aerospace Engineering Estimator 050801 communication & media studies 020206 networking & telecommunications 02 engineering and technology Bayesian inference computer.software_genre Multiplexing 0508 media and communications Automotive Engineering 0202 electrical engineering electronic engineering information engineering Data mining Electrical and Electronic Engineering Algorithm computer Decoding methods Multipath propagation Communication channel Computer Science::Information Theory |
| Zdroj: | Barbu, O-E, Manchón, C N, Rom, C, Balercia, T & Fleury, B H 2016, ' OFDM receiver for fast time-varying channels using block-sparse Bayesian learning ', I E E E Transactions on Vehicular Technology, vol. 65, no. 12, pp. 10053-10057 . https://doi.org/10.1109/TVT.2016.2554611 |
| DOI: | 10.1109/TVT.2016.2554611 |
| Popis: | We propose an iterative algorithm for orthogonal frequency-division multiplexing (OFDM) receivers operating over fast time-varying channels. The design relies on the assumptions that the channel response can be characterized by a few nonnegligible separable multipath components and that the temporal variation of each component gain can be well characterized with a basis expansion model (BEM) using a small number of terms. As a result, the channel estimation problem is posed as that of estimating a vector of complex coefficients that exhibits a block-sparse structure, which we solve with tools from block-sparse Bayesian learning (BSBL). Using variational Bayesian inference, we embed the channel estimator in a receiver structure that performs iterative channel and noise precision estimation, intercarrier interference (ICI) cancelation, detection, and decoding. Simulation results illustrate the superior performance of the proposed receiver over state-of-the-art receivers. |
| Databáze: | OpenAIRE |
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