Performance of blind equalization with higher order statistics in indoor radio environments
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Tipus de documentArticle
Data publicació1997-05
EditorIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Condicions d'accésAccés obert
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Abstract
This paper analyzes the performance of blind equalization using the complex cepstrum of third-order moments
applied to 4-QAM time division multiple access (TDMA) indoor
radio communication systems. In particular, we have modeled
a dispersive indoor channel with Rice statistics. We used the
blind algorithms to estimate the channel-impulse response, and
from this, we computed the equalizer coefficients using a classical
minimum mean square error (MMSE) algorithm. In order to
evaluate the system performance, we calculated the bit error
rate (BER) of a decision feedback equalizer (DFE) that uses a
tricepstrum algorithm to estimate the channel-impulse response.
The results are compared with those obtained using a least sum
of square errors (LSSE) algorithm as a channel estimator and
considering the exact channel response. The results obtained show
that this kind of blind equalizer performs better than the more
classically trained equalizer when Rice channels with a strong
direct path and signal-to-noise ratios (SNR’s) lower than 20 dB
are taken into account. However, some problems relating to the
length of time needed for convergence must be solved.
CitacióValenzuela, J,L; Valdovinos Bardají, A; Casadevall Palacio, F. J. Performance of blind equalization with higher order statistics in indoor radio environments. IEEE Transactions on Vehicular Technology, 1997, vol. 46, pàg. 369-374
ISSN0018-9545
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