Reduced-Complexity Radial Basis Function-Assisted Turbo Equalization for Dispersive Rayleigh-Fading Channels

Previous turbo equalization (TEQ) research has shown that the Jacobian radial basis function (RBF) decision-feedback equalizer (DFE) TEQ scheme considerably reduces computational complexity compared to the logarithmic maximum a posteriori (Log-MAP) TEQ with similar performance. In this paper, we propose a new reduced-complexity RBF-assisted DFE-based TEQ scheme using a novel extended fuzzy c-means (FCM) algorithm. The proposed reduced-complexity RBF DFE TEQ not only greatly reduces computational complexity but also offers similar performance in contrast to the Jacobian RBF DFE TEQ. With this, the materialization of the TEQ scheme becomes more feasible.