Title :
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
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;
Conference_Titel :
Military Communications Conference, 1989. MILCOM '89. Conference Record. Bridging the Gap. Interoperability, Survivability, Security., 1989 IEEE
Conference_Location :
Boston, MA
DOI :
10.1109/MILCOM.1989.103940
