Title :
Adaptive minimum symbol-error rate equalization for quadrature-amplitude modulation
Author :
Yeh, Chen-Chu ; Barry, John R.
Author_Institution :
Intersil Corp., Palm Bay, FL, USA
Abstract :
We propose the adaptive minimum symbol-error rate algorithm, which is a low-complexity technique for adapting the coefficients of a linear equalizer in systems using pulse-amplitude or quadrature-amplitude modulation. The proposed algorithm very nearly minimizes error probability in white Gaussian noise and can significantly outperform the minimum-mean-squared error equalizer (by as much as 16 dB) when the number of equalizer coefficients is small relative to the severity of the intersymbol interference.
Keywords :
AWGN channels; adaptive equalisers; adaptive estimation; error statistics; intersymbol interference; least mean squares methods; pulse amplitude modulation; quadrature amplitude modulation; MMSE criterion; adaptive minimum symbol-error rate algorithm; intersymbol interference; linear equalizer; low-complexity technique; pulse-amplitude modulation; quadrature-amplitude modulation; white Gaussian noise; Adaptive equalizers; Delay; Error probability; Gaussian noise; Helium; Intersymbol interference; Linear approximation; Pulse modulation; Quadrature amplitude modulation; Signal processing algorithms;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2003.819081