Performance Evaluation of DFT Based Channel Estimation for Spatial Modulated FBMC-COQAM systems on Multipath Fading Channels

This work proposes channel estimation based on Least Square (LS) and Discrete Fourier Transform (DFT) in Spatial Modulated FBMC-COQAM system. Initially, LS estimation is done to proceed with the DFT method. It is observed that using the DFT method; improves the performance of the LS method by removing noise outside the Channel Impulse Response (CIR) with the knowledge of maximum CIR in advance. With LS estimation, the channel response is obtained with the transmitted pilot symbols. After interpolation with linear and spline methods, the channel response for all SM FBMC- COQAM blocks is obtained. DFT estimation is then performed. The channel model used is the Typical Urban model proposed by the COST 259 project. The simulation result shows that Mean Square Error (MSE) performance improves approximately by 3 dB compared with LS spline and approximately 7 dB with LS linear at MSE 10
^-2
with DFT-based channel estimation. Also, an improvement of approximately 4dB over LS estimation is observed at SER 10
^-3
. Comparing the proposed system with SM-OFDM, the performance remains the same.