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To further improve the performance of recurrent least square (RLS) constant modulus algorithm (CMA) RLS-CMA blind equalization, an RLS-CMA blind equalization algorithm with adaptive forgetting factor controlled by energy steady state was proposed. The cost function of CMA is simplified to meet second normal form, and the blind equalizer can be updated according to RLS algorithm. The energy rate of...
Blind equalization based on adaptive forgetting factor, recursive least squares (RLS) with constant modulus algorithm (CMA), is investigated. The cost function of CMA is simplified to meet the second norm form to ensure the stability of RLS-CMA, and thus an improved RLS-CMA (RLS-SCMA) is established. To further improve its performance, a new adaptive forgetting factor RLS-SCMA (ARLS-SCMA) is proposed...
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