The performance of simplified CGM-BOPA in noisy environment [adaptive processing]

Block orthogonal algorithm using conjugate gradient method has the advantage of a very good convergence characteristic only environment without noise, but known conditions become very unstable because convergence accuracy is corrupted under the noisy environment. Accordingly, optimal repetition number of the algorithm of CGM-BOPA is achieved with reduced computational requirement, and convergence characteristic is improved under the noisy environment. In this paper, in order to get repetition number, we analysed simplified CGM-BOPA (SCGM-BOPA). The performance of the proposed algorithm is shown by analysis and computer simulation