Title :
Equalizer adaptation algorithms for high-speed wireless communications
Author :
Narayanan, Krishna R. ; Cimini, Leonasd J., Jr.
Author_Institution :
Sch. of Electr. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
Adaptation algorithms for use in a decision feedback equalizer operating in an indoor wireless (multipath fading) environment are considered. The advantages and disadvantages of the LMS, RLS, fast Kalman, and lattice RLS algorithms when used in the above specified environment are discussed. Results are presented to compare the performance of these algorithms in terms of their convergence speed, achievable SNR, stability, and computational complexity. Results are also presented on the statistics of the number of iterations required to achieve a particular SNR and the achievable SNR when the training period is fixed. Finally, the effects of varying some of the equalizer design parameters are studied
Keywords :
Kalman filters; computational complexity; convergence of numerical methods; decision feedback equalisers; fading; indoor radio; least mean squares methods; multipath channels; recursive estimation; LMS algorithm; RLS algorithm; achievable SNR; algorithm performance; computational complexity; convergence speed; decision feedback equalizer; equalizer adaptation algorithms; equalizer design parameters; fast Kalman algorithm; high speed wireless communications; indoor wireless environment; iterations; lattice RLS algorithm; multipath fading; stability; statistics; training period; Computational complexity; Convergence; Decision feedback equalizers; Fading; Kalman filters; Lattices; Least squares approximation; Resonance light scattering; Stability; Statistics;
Conference_Titel :
Vehicular Technology Conference, 1996. Mobile Technology for the Human Race., IEEE 46th
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-3157-5
DOI :
10.1109/VETEC.1996.501398
