Fast Time-Varying Channel Estimation for OFDM Systems With Narrowband Interference
| Autor: | Farah Zaarour, Eric Pierre Simon |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Mean squared error
Orthogonal frequency-division multiplexing Kalman filter Control and Systems Engineering Robustness (computer science) Expectation–maximization algorithm Statistics Bit error rate Maximum a posteriori estimation Electrical and Electronic Engineering Algorithm Computer Science::Information Theory Communication channel Mathematics |
| Zdroj: | IEEE Wireless Communications Letters. 4:389-392 |
| ISSN: | 2162-2345 2162-2337 |
| DOI: | 10.1109/lwc.2015.2424704 |
| Popis: | The problem of channel estimation in OFDM with narrowband interference (NBI) has been only investigated for slow time-varying channels. For the first time, a novel estimation framework is proposed for fast time-varying channels. The noise variances and channel are jointly estimated via the maximum a posteriori (MAP) expectation maximization (EM) algorithm. By considering in the EM formulation the channel as the unwanted parameter and the noise variances as the parameters to be estimated, a closed-form analytical expression for the estimation of the noise variances is obtained; the channel being given by the Kalman smoother. Mean square error (MSE) and bit error rate (BER) simulations confirm the effectiveness and robustness of the approach against mobility and its adequacy for practical interference scenarios. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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