Abstract:Bias removal in a modified indirect plain gradient (MIPG) algorithm is presented in this paper. The proposed technique can remove the bias existing in the estimated parameter with little increasing of computation. In addition, steady state analysis of the convergence behavior and bias are derived in closed form. Computer simulations are conducted to corroborate the theoretical analysis and the effectiveness of the proposed algorithm.
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