A noise constrained LMS algorithm for fading channel communications

Author

Wei, Yongbin ; Gelfand, Saul B. ; Krogmeier, James V.

Author_Institution

Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA

Volume

2

fYear

1997

fDate

3-6 Aug 1997

Firstpage

754

Abstract

In many identification and tracking algorithms, an accurate estimate of the measurement noise variance is available. A partially adaptive LMS-type algorithm is developed which can exploit this information while maintaining the simplicity and robustness of LMS. This noise constrained LMS (NCLMS) algorithm is a type of variable stepsize LMS algorithm, which is derived by adding constraints to the mean-square error optimization. The convergence and steady state performance are analyzed. Both the theoretical results and simulations show that NCLMS can dramatically outperform LMS and other variable step size LMS algorithms in a sufficiently noisy environment

Keywords

adaptive signal processing; convergence of numerical methods; fading; least mean squares methods; noise; radiocommunication; telecommunication channels; tracking; convergence; fading channel communications; mean-square error optimization; noise constrained LMS algorithm; noisy environment; partially adaptive LMS-type algorithm; steady state performance; variable stepsize LMS algorithm; Adaptive algorithm; Additive white noise; Convergence; Fading; Gaussian noise; Least squares approximation; Noise measurement; Steady-state; Time division multiple access; Working environment noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1997. Proceedings of the 40th Midwest Symposium on

Conference_Location

Sacramento, CA

Print_ISBN

0-7803-3694-1

Type

conf

DOI

10.1109/MWSCAS.1997.662184

Filename

662184