A Novel App-based Soft-output Adaptive Equalizer with Enhanced Channel Tracking Capability
نویسنده
چکیده
A novel adaptive equalizer that exploits only the softinformation given by the A Posteriori Probabilities (APPs) of the states of the ISI channel for channel estimation, tracking and equalization is presented. Moreover, the channel tracking capability of the receiver is enhanced by exploiting the knowledge of the powerdelay profile of the link and, therefore, by taking into account an unequal distribution of the powers of the channel taps. This is done by modifying the channel estimator algorithm and by conveying into the covariance matrix of the channel estimation error the available information on the powers of the taps of the low pass equivalent sampled input-delay spread function.
منابع مشابه
A novel APP-based soft-output adaptive equalizer. Exploiting non-linear MMSE fixed-lag smoothed estimates of the transmitted symbols
Non-Linear Minimum Mean Square Error (NLMMSE) estimators have seldom been used in practice because of the intrinsic analytic difficulties that arise in their development. However, it has been recently shown [7] that the A Posteriori Probabilities (APPs) of the states of the ISI channel can be efficiently used to generate NL-MMSE filtered and fixed-lag smoothed estimates of the transmitted symbo...
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