A new method for robust fast tracking channel equalization

Author

Doherty, J.F. ; Mammone, R.J.

Author_Institution

Dept. of Electr. & Comput. Eng., Rutgers Univ., Piscataway, NJ, USA

fYear

1989

fDate

15-18 Oct 1989

Firstpage

284

Abstract

An adaptive method called the block iterative equalizer (BIE) method, for compensating time-varying channel effects, is presented. The BIE method offers convergence and tracking capabilities comparable to the popular RLS (recursive least squares) methods. Furthermore, the BIE algorithm performs with O(N) computational complexity, typically O(10N). The stability of the algorithm is achieved by performing an iterative pseudoinverse of the equalizer data matrix. The performance of the BIE algorithm is more robust than that of the LMS (least mean square), NLMS (normalized LMS), or RLS algorithms when the condition number of the Grammian matrix is high. This property translates into minimal noise enhancement and stable operation

Keywords

equalisers; iterative methods; telecommunication channels; Grammian matrix; RLS methods; adaptive method; block iterative equalizer; compensation; computational complexity; condition number; convergence; equalizer data matrix; fast tracking channel equalization; minimal noise enhancement; mobile communications channel; recursive least squares; stable algorithm; time-varying channel effects; Computational complexity; Convergence; Equalizers; Iterative algorithms; Iterative methods; Least squares approximation; Least squares methods; Resonance light scattering; Robustness; Time-varying channels;

fLanguage

English

Publisher

ieee

Conference_Titel

Military Communications Conference, 1989. MILCOM '89. Conference Record. Bridging the Gap. Interoperability, Survivability, Security., 1989 IEEE

Conference_Location

Boston, MA

Type

conf

DOI

10.1109/MILCOM.1989.103940

Filename

103940