John J. Shynk

TL;DR: It is shown that the signal canceller exactly removes the source captured by the array for mutually uncorrelated sources and noise and may be used in a multistage system to recover several cochannel sources.

TL;DR: Novel joint estimators are proposed that employ a single-input demodulator with oversampling to compensate for timing uncertainties and a (suboptimal) two-stage joint MAP symbol detector (JMAPSD) is introduced that has a lower complexity than the single-stage estimators while accruing only a marginal loss in error-rate performance at high signal-to-interference ratios.

TL;DR: A new blind equalization algorithm based on a suboptimum Bayesian symbol-by-symbol detector is presented and it is shown that the maximum a posteriori (MAP) sequence probabilities can be approximated using the innovations likelihoods generated by a parallel bank of Kalman filters.

TL;DR: This paper examines the transient and steady-state characteristics of several Bussgang-type blind equalization algorithms and the relative performance of the various algorithms is assessed.

TL;DR: Based on a Wiener model of convergence for the gradient adaptive algorithms, closed-form expressions are derived for the CM array and canceller weight vectors, as well as the effective source direction vectors at all stages along the cascade system.