Research On ISI Elimination Techniques For FTN Transmission System

At present, the shortage of radio spectrum resources is becoming more and more prominent, so it is needed to study the new technology to achieve the goal of achieving higher spectral efficiency communication under the premise of limited spectrum resources. FTN transmission technology allows the signal to be transmitted at a higher rate than the Nyquist rate, which can provide a higher throughput and system capacity than the traditional orthogonal transmission technology. With the continuous improvement of the chip processing speed, FTN technology is becoming a new core technology in 5G and the future wireless communication system. While the FTN inevitably introduces intersymbol interference,which leads to increased complexity of the receiver.This thesis mainly focuses on ISI elimination techniques for FTN transmission system with single carrier.Firstly, the present research status at home and aboard of FTN technology is analyzed, and the similarities and differences between FTN transmission and the traditional orthogonal transmission and partial response system are summarized based on the access to lots of literatures.Secondly, the Mazo theory is deduced and verified. The advantages of FTN transmission technology are illustrated by the simulation and analysis of the normalized capacity and bandwidth utilization of FTN transmission system, and the FTN signal shaping method is introduced.Again, based on the different channel coding and decoding methods, the FTN transmission system based on convolutional coding and Turbo coding is studied, and the LDPC code is used in the FTN transmission system for the first time. And the parameters affecting the performance of FTN transmission system are analyzed and compared in detail, mainly focusing on different FTN acceleration factors.Then, for the purpose of the research on the FTN transmission system under the frequency-selective fading channel, a FTN system structure based on the adaptive equalization technique is first presented. And an improved adaptive equalization algorithm is also proposed, which not only can improve the convergence rate but also can maintain a low computational complexity, and the simulation results show that the proposed algorithm can be applied to different scenarios;In addition, the FTN transmission system based on Turbo equalization under the static wireless channel represented by the typical ISI channel is studied, and the simulation results show that a better BER performance is obtained.At last, the work of the whole thesis is summarized, and the prospect of the follow-up study is also given.