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Convergence of the SMI and the diagonally loaded SMI algorithm with weak interfering signalsA method is described (0 normpuZC the step parameter and perturbation amount used for gradient search adaptive algorithms. T h step normalization assures rapid stable convergence. The perturbation normalization also assures rapid stable convergence and limits t h output perturbation wise to a level below thermal noise. Th normalizptiols are conputationally simple and are consistent with lh use of a sbgle receiver at the adaptive array output. Results are presented to verify the robustness of the technique.
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