A Novel Structure of Conjunction Decision Feedback Equalizer for Nonlinear Channels
Haiquan Zhao, Mingyuan Xie, Xiangping Zeng · 2006
For mild and severe nonlinear distortions in digital communication systems, this paper analyses Chebyshev orthogonal polynomial neural network nonlinear filter, combines the structure of simplified nonlinear filter, and extends decision feedback equalizer's structure with characteristics of decision feedback equalizer (DFE)'s structure. A novel structure of conjunction decision feedback equalizers is proposed, and adaptive algorithm is deduced with the normalized LMS (NLMS). Computer simulations show that not only the new type structure equalizer is simpler structure and but also can availably remove nonlinear's distortions and ISI, improve performance of BER no matter what mild or serve nonlinear distortions