Adaptive sequence detection using T-algorithm for multipath fading ISI channels

We develop an adaptive, low complexity tree-search receiver using the T-algorithm for multipath fading ISI channels. Unlike previous research on sequence based detection, a symbol spaced channel is not given a a priori, rather the receiver utilizes the feedforward channel estimation to derive the matched filter and the symbol-spaced statistics. Then, to enhance the efficiency of the T-algorithm, the use of a mean-square whitening filter (MS-WF) is proposed. We also propose the use of per-survivor processing which brings a further SNR advantage and reduction of the average computations required by the T-algorithm receiver. A substantial SNR benefit over a correct decision feedback equaliser (DFE) is achieved at a moderate increase in complexity