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Nonlinear Complex Support Vector Regression for Fading Channel Estimation in FBMC-OQAM System | IEEE Journals & Magazine | IEEE Xplore

Nonlinear Complex Support Vector Regression for Fading Channel Estimation in FBMC-OQAM System


Abstract:

Most channel estimation techniques for orthogonal frequency division multiplexing system are not directly applicable to filter bank multi-carrier with offset quadrature a...Show More

Abstract:

Most channel estimation techniques for orthogonal frequency division multiplexing system are not directly applicable to filter bank multi-carrier with offset quadrature amplitude modulation (FBMC-OQAM) system because of the imaginary interference of FBMC-OQAM system. Thus, a novel support vector regression (SVR) algorithm for fading channel estimation in FBMC-OQAM system is proposed. We propose a nonlinear complex SVR algorithm (NCSVR) adapted to two auxiliary pilots (AP)-based FBMC-OQAM signal, namely as AP-NCSVR. The practicality of our method is proved by simulation results obtained for Jakes fading model and vehicular A model. Simulation results reveal the accuracy of the proposed AP-NCSVR algorithm to estimate channel frequency response coefficients and show that the bit error rate performance of the proposed AP-NCSVR algorithm is better than the conventional interpolation method for Jakes fading model and vehicular A model.
Published in: IEEE Wireless Communications Letters ( Volume: 8, Issue: 3, June 2019)
Page(s): 753 - 756
Date of Publication: 01 January 2019

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