An algebraic self-training algorithm for multi-channel system identification
Zhi Jun Ding, Rodney A. Kennedy · 1994
In this paper we study the problem of identifying single input-multiple output (SIMO) linear systems that are common in digital communication and control systems. We present an adaptive algorithm for the identification of SIMO linear system. The algorithm is based on a mild co-prime condition and can be implemented as a recursive least square algorithm that has shown quick convergence in simulations. This system identification method can find important applications in digital communications, wideband antenna array processing, and noise control systems.>