Eigenfilter based blind channel estimator

An eigenfilter based blind channel estimation technique of estimating the channel state information for a single-input two-output system is considered by using second-order statistics information about the received signal. We showed that our design have either comparable or better estimation performance than another eigenfilter based estimation technique [M.K. Tsatsanis and Z. Xu, March 1999] with significantly lower computational complexity. The simulation results also showed the proposed algorithm can estimate the channel by observing a small amount of received signal samples. Finally, the equalization performance between the two algorithms are compared using the symbol error rate, where our algorithm is shown to outperform the one in M.K. Tsatsanis and Z. Xu (1999).