  We derive the mathematical equations required for channel estimation and data
detection of filter bank multi-carrier (FBMC) offset quadrature amplitude
modulation (OQAM) systems with affine precoding and decoding. The mean square
error (MSE) in least square (LS) channel estimation and bit error rate (BER) of
the system is found for different training power coefficients. The proposed
system gives better BER performance compared to other cutting edge FBMC
systems. The optimum training power coefficient $(\sigma_{c_{opt}}^2)$ is also
found from the simulation results. The band width efficiency of the system is
also calculated.
