Simulación de estimación de canal y sincronización en la técnica de comunicación inalámbrica SEFDM.: Simulación de estimación de canal en SEFDM.

Abstract

This curricular integration project presents a simulation in MATLAB software for SEFDM (Spectrally Efficient Frequency Division Multiplexing) system with channel estimation. AWGN noise (Additive White Gaussian Noise) and Rician fading are used for the state of the wireless channel. The SEFDM system will use a convolutional encoder with a rate of 1/2. SEFDM systems use a compression factor to reduce the bandwidth, the compression factor will be a configurable parameter in the simulation. In addition, there will be different types of modulation such as QPSK, 16QAM and 64QAM. To estimate the channel in the receiver, a preamble will be used, that is, a known symbol transmitted to know the status of the channel and facilitate synchronization. In this case, the SEFDM system will have perfect synchronization. The results of the simulation are presented by plotting BER (Bit Error Rate) vs. Eb/No (Energy per-bit to noise power spectral density ratio). Chapter 1 presents a bibliographical introduction and a simple block diagram about SEFDM systems. In addition, the theoretical concepts of channel estimation are presented. Chapter 2 details the implementation of the SEFDM system for MATLAB, it is composed of a transmission stage, a wireless channel and a reception stage. For the reception stage, the LS estimation technique is developed with the SEFDM-OFDM method. Chapter 3 shows the results of the BER vs Eb/No curves. The perfect estimation technique and the developed LS estimation technique are compared. The configurable parameters are modified to verify how they affect the performance of the BER. In addition, the conclusions and recommendations of the work carried out are presented.