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Fast-converging conjugate-gradient adaptive algorithm for complex channel estimation

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4 Author(s)
Liu, Y. ; Sch. of Electr. Eng. & Comput. Sci., Univ. of Central Florida, Orlando, FL, USA ; Ranganathan, R. ; Hunter, M. ; Mikhael, W.

An efficient adaptive digital filtering algorithm called complex block 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.

Published in:

Electronics Letters  (Volume:46 ,  Issue: 2 )