TY - GEN
T1 - Fractionally spaced blind equalization
T2 - 2nd IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC 1999
AU - Mazet, L.
AU - Ciblat, P.
AU - Loubaton, P.
N1 - Publisher Copyright:
© 1999 IEEE.
PY - 1999/1/1
Y1 - 1999/1/1
N2 - It is now well established that most of the blind fractionally spaced channel estimates based on the exclusive use of the second order statistics of the observation have poor performance when the excess bandwidth of the received signal is reduced. Previous papers proposed to use covariance matching approaches, and showed that a significant improvement of the mean square error of the channel estimate is possible. The purpose of this paper is to evaluate more precisely the potential of these methods. For this, we propose to compare the performance of a Wiener equalizer based on the optimally weighted covariance matching estimate of the channel (known as the best second order statistics based estimate) with the most standard higher order statistics based method, i.e. the (block) fractionally spaced CMA equalizer. It is shown that the CMA outperforms quite significantly the second order statistics based Wiener equalizer.
AB - It is now well established that most of the blind fractionally spaced channel estimates based on the exclusive use of the second order statistics of the observation have poor performance when the excess bandwidth of the received signal is reduced. Previous papers proposed to use covariance matching approaches, and showed that a significant improvement of the mean square error of the channel estimate is possible. The purpose of this paper is to evaluate more precisely the potential of these methods. For this, we propose to compare the performance of a Wiener equalizer based on the optimally weighted covariance matching estimate of the channel (known as the best second order statistics based estimate) with the most standard higher order statistics based method, i.e. the (block) fractionally spaced CMA equalizer. It is shown that the CMA outperforms quite significantly the second order statistics based Wiener equalizer.
KW - Blind identification and equalization
KW - Constant modulusa lgorithmst atistical performance analysis
KW - Covariance matching
KW - Signal processing for mobile wireless communications
U2 - 10.1109/SPAWC.1999.783061
DO - 10.1109/SPAWC.1999.783061
M3 - Conference contribution
AN - SCOPUS:84867465187
T3 - IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
SP - 231
EP - 234
BT - 1999 2nd IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC 1999
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 9 May 1999 through 12 May 1999
ER -