Performance analysis of blind channel estimation using second order statistics
C. Becchetti, Gaetano Scarano, G. Jacovitti · 2002
In this contribution, we derive the performance of blind channel estimation without relying on prior knowledge of the symbol statistic. In particular, a lower bound on the performance of the maximum likelihood (ML) estimator of FIR channels is derived and expressed in a simple closed-form. The dependence of system parameters such as the roll-off of the raised cosine shaping filter, the channel spectrum, the SNR and the sample size is made explicit and an application example referring to a two ray communication channel is discussed. Simulation results are also provided to assess the validity of the proposed theoretical expressions in comparison with common approaches encountered in the literature.