-We propose a generalized belief propagation (GBP) receiver for two-dimensional (2-D) channels with memory, which is applicative to 2-D intersymbol interference (ISI) equalization and multi-user detection (MUD). Our experimental study demonstrates that under non-trivial interference conditions, the performance of this fully tractable GBP receiver is almost identical to the performance of the optimal maximum a-posteriori (MAP) receiver.
A polynomial approach for maximum likelihood estimation of superimposed signals in time series problems and array processing was recently proposed [1][2][3]. This technique was applied successfully to linear uniform arrays and to uniformly sampled complex exponential signals. However, uniformly spaced arrays are not optimal for minimum variance estimation of bearing, range or position; and uniform sampling of signals is not always possible in practice. In this communication we make use of the EM algorithm in order to apply the polynomial approach to sublattice arrays and to missing samples in time series problems.
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