Channel Estimation Based on Divergence Minimization for OFDM Systems with Co-Channel Interference

C. N. Manchon, B. Fleury, G. E. Kirkelund, P. Mogensen, L. Deneire, T. B. Sorensen, C. Rom
2009 2009 IEEE International Conference on Communications  
In this paper, we present a novel approach for pilotaided channel estimation in OFDM systems with synchronous co-channel interference. The estimator is derived based on the Kullback-Leibler divergence minimization framework. The obtained solution iteratively updates both the desired user's and the interferer's channels, using a combination of linear minimum mean squared-error (LMMSE) filtering and interference cancellation, avoiding the complex matrix inversions involved in the full LMMSE
more » ... l estimation approach. Estimation of the noise variance is also included in the iterative algorithm, accounting for Gaussian noise and residual interference after each iteration. The estimates of both channels are used at the equalizer to reject the interfering signal, thus mitigating the degradation due to co-channel interference. Simulation results show that the receiver using the proposed estimator performs as good as the one employing the full LMMSE estimator and very closely to a receiver having perfect knowledge of the channel coefficients. This full text paper was peer reviewed at the direction of IEEE Communications Society subject matter experts for publication in the IEEE ICC 2009 proceedings 978-1-4244-3435-0/09/$25.00
doi:10.1109/icc.2009.5198818 dblp:conf/icc/ManchonFKMDSR09 fatcat:6ymth6oomngrrdh5w7gnjbkqsa