Title :
A decision-directed Bayesian equalizer
Author :
Wilhoyte, Michael E. ; Ogunfunmi, Tokunbo
Author_Institution :
Appl. Signal Technol. Inc., Sunnyvale, CA, USA
fDate :
Oct. 30 1995-Nov. 1 1995
Abstract :
This paper investigates a new decision-directed Bayesian equalizer based on the blind Bayesian equalizer introduced by Iltis, Shynk, and Giridhar (1991, 1992). The blind equalizer of Iltis suffers from high complexity making it impractical for software implementation of QAM signals beyond 4 states and with bit rates greater than 16 kbps. The complexity of the decision-directed Bayesian equalizer is compared to the blind version. It is shown that even though the decision directed implementation is less complex, implementation of it in software still seems limited to BPSK and QPSK with bits rates less than 30 kbps. It is also demonstrated through simulation results that even for initially poor channel estimates, the decision-directed equalizer still converges to a close approximation to the actual channel impulse response.
Keywords :
decision theory; 16 kbit/s; 30 kbit/s; BPSK; Kalman filter; LMS algorithm; MAP algorithm; QAM signals; QPSK; bits rates; blind Bayesian equalizer; channel estimates; channel impulse response; convergence; decision-directed Bayesian equalizer; equalizer complexity; simulation results; software implementation; Adaptive filters; Approximation algorithms; Bayesian methods; Binary phase shift keying; Bit rate; Blind equalizers; Matched filters; Maximum a posteriori estimation; Quadrature amplitude modulation; Quadrature phase shift keying;
Conference_Titel :
Signals, Systems and Computers, 1995. 1995 Conference Record of the Twenty-Ninth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-8186-7370-2
DOI :
10.1109/ACSSC.1995.540565