An efficient adaptive digital filtering algorithm called complexblock conjugate least mean square (CBC-lms) is presented for complex wireless channel estimation. The proposed technique incorporates the conjugate grad...
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An efficient adaptive digital filtering algorithm called complexblock conjugate least mean square (CBC-lms) is presented for complex wireless channel estimation. The proposed technique incorporates the conjugate gradient principle into the complex block lms algorithm. In addition, the novel algorithm generates a unique optimal stepsize along each conjugate direction at each iteration. Computer simulations show that the proposed CBC-lms yields better performance than existing complex block lms algorithms, while maintaining computational efficiency.
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