Performance of Blind Equalization with Higher Order Statistics in Indoor Radio Environments
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hdl:2117/97949
Tipus de documentArticle
Data publicació1997-05
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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 (SNRs) 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., Valdovinos, A., Casadevall, F. Performance of Blind Equalization with Higher Order Statistics in Indoor Radio Environments. "IEEE transactions on vehicular technology", Maig 1997, vol. 46, núm. 2, p. 369-374.
ISSN0018-9545
Versió de l'editorhttp://ieeexplore.ieee.org.recursos.biblioteca.upc.edu/document/580774/
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