Performance of blind equalization with higher order statistics in indoor radio environments
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
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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.
CitationValenzuela, 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