<abstract xmlns="http://www.w3.org/1999/xhtml"><p>In this paper, a new channel estimation algorithm in Orthogonal Frequency Division Multiplexing (OFDM) systems is proposed. The proposed algorithm is suitable for cases with low density of pilot sub-carriers, where standard interpolation methods (linear, second order and cubic spline interpolation) are inaccurate. The algorithm improves the interpolation methods by employing memory based collaborative filtering (CF) techniques which are less sensitive to the number and location of the pilot subcarriers. CF algorithms are usually used in the context of recommender systems (e-commerce) for predictions of the unknown user-item ratings based on known values of similar users. The advantage of CF is the ability to e ciently produce quality predictions with highly sparse data. Computer simulations are used to verify the proposed channel estimation algorithm and demonstrate that the proposed algorithm improves predictive accuracy metrics, such as Root Mean Squared Error (RMSE), compared to usual estimation methods.</p></abstract>

In this paper, a new channel estimation algorithm in Orthogonal Frequency Division Multiplexing (OFDM) systems is proposed. The proposed algorithm is suitable for cases with low density of pilot sub-carriers, where standard interpolation methods (linear, second order and cubic spline interpolation) are inaccurate. The algorithm improves the interpolation methods by employing memory based collaborative filtering (CF) techniques which are less sensitive to the number and location of the pilot subcarriers. CF algorithms are usually used in the context of recommender systems (e-commerce) for predictions of the unknown user-item ratings based on known values of similar users. The advantage of CF is the ability to e ciently produce quality predictions with highly sparse data. Computer simulations are used to verify the proposed channel estimation algorithm and demonstrate that the proposed algorithm improves predictive accuracy metrics, such as Root Mean Squared Error (RMSE), compared to usual estimation methods.

Wireless channel estimation in OFDM systems based on collaborative filtering techniques

Croatian Regulatory Authority for Network Industries

Faculty of Electrical Engineering and Computing

Journal of Electrical Engineering

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

In this paper, a new channel estimation algorithm in Orthogonal Frequency Division Multiplexing (OFDM) systems is proposed. The proposed algorithm is suitable...

Wireless channel estimation in OFDM systems based on collaborative filtering techniques

Publié en ligne: 18 juil. 2019

Pages: 244 - 252

Reçu: 25 mars 2019

DOI: https://doi.org/10.2478/jee-2019-0033

Mots clés
OFDM, channel estimation, collaborative filtering, interpolation methods

© 2019 Velimir Švedek et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Wireless channel estimation in OFDM systems based on collaborative filtering techniques

Publié en ligne: 18 juil. 2019

Pages: 244 - 252

Reçu: 25 mars 2019

DOI: https://doi.org/10.2478/jee-2019-0033

Mots clésOFDM, channel estimation, collaborative filtering, interpolation methods

© 2019 Velimir Švedek et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Mots clés
OFDM, channel estimation, collaborative filtering, interpolation methods