Using A Priori Information to Reduce the Computational Complexity of RBF-Assisted Turbo Equalization

This paper presents a straightforward and efficient reduced-complexity radial basis function (RBF)assisted decision-feedback equalizer (DFE)-based turbo equalization (TEQ) scheme, which utilizes the a priori information provided by the channel decoder to significantly reduce the computational complexity of the RBF-based DFE. The proposed scheme is capable of achieving a close performance to the Jacobian RBF DFE TEQ in the context of both binary phase-shift keying (BPSK) modulation and 4 quadrature amplitude modulation (QAM), when communicating over dispersive Rayleigh fading channels. Furthermore, it attains a factor 3 and 4.38 lower computational complexity associated with the addition/subtraction operations compared to the Jacobian RBF DFE TEQ for BPSK and 4 QAM, respectively. In addition, the complexity reduction factor associated with the multiplication/division/exp(-)/ln(-) operations is 1.14 and 2.53 for BPSK and 4 QAM, respectively.