A BPSK decision-feedback equalization method robust to phase and timing errors

We present a new approach to binary phase shift keying (BPSK) channel equalization that uses the aggregating method of bagging to improve its ability to handle noise and estimation errors. Bagging forms a single equalized output from an average of N equalizers that are run on independently permuted sets of the received signal. We show in simulations that bagging offers improvement compared to the traditional adaptive decision-feedback equalizers (DFEs), especially in the presence of estimation errors caused by phase and timing recovery.