5G mobile communication and mobile Internet industry impact on people’s lives and the economy more and more obvious. But there still exists major problem, namely the shortage of spectrum resources.According to traditional communication theory, Inter-Symbol Interference (ISI) is caused when Faster-than-Nyquist (FTN) is applied, which will lead to degrade system performance. Howerver, As early as 1975, Mazo has broken this theory, and showed that the system performance will not be degraded if the transmission rate is faster than the Nyquist rate within a certain extent, i.e, the symbol rate is less than 25% Nyquist rate limit by choosing appropriate signal in the time domain, the minimum Euclidean distance of the signal does not change though ISI exists. This conclusion expounds the possibility of non-orthogonal transmission, and thus the faster than Nyquist transmission technology is invented. Since the transmission rate is faster than the Nyquist rate, FTN provides higher system capacity than conventional transmission technology. If the problem ofinterferenceand transceiver design can be solved, FTN will be promising applied to 5G mobile communication system.In this thesis, we study key technologies of the FTN modulation and transceiver design. The feasibility of FTN modulation in the practical application is verified from the theoretical analysis and simulation. This paper studies thetime and frequency domain algorithms of FTN iterative receiver, especially maximum a posteriori estimation and MMSE iterative algorithm, and applies them to FTN receiver. The performance of each algorithm is verified in terms of bit error rate, convergence speed and computation through simulations and analysis various algorithms. Firstly, this paper analysis the FTN transmission technology such as presenting the characteristics and related MAZO boundary of FTN transmission, discrete processing of system model and FTN modulation introduced colored noise whitening method. Because of FTN signal with infinite symbol interference we should truncate the ISI. To remove the ISI,we present commonly channel equalization such as MSLEã€MMSEã€MAP. In the end, we analysis and summary the key technology of FTN receiver.Secondly, in this paper we study the structure of the FTN system, include the FTN transceiver structure and channel coding and decoding algorithm based on MAP. Channel equalization is studied BCJR, its reduced-complexity algorithm and MMSE algorithm. From iterative algorithm simulation, we analysis advantages of different algorithm and their BER performance.Finally, through studying the single carrier frequency domain equalization algorithm and its structure we apply this algorithm to FTN receiver, and add iterative algorithm to improve the system performance. |