Algebraic self-training algorithms for multi-channel system identification and equalization

We study the problem of identifying and equalizing single input-multiple output (SIMO) linear systems that are common in digital communication systems. We present an adaptive algorithm for the identification of SIMO linear systems. We also present an algorithm for the equalization of a SIMO linear system. Both algorithms are based on a mild length and zero condition and can be implemented recursively. Simulation results are presented to demonstrate the performance of these two algorithms.<>