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This work considers the problem of low-latency detection of unknown signals that appear intermittently in noise having unknown and perhaps non-stationary statistics. We show how to realize a detector having a guaranteed probability of false alarm with best in-class probability of detection and lowest complexity. The detector adaptation is based on a state-machine driven feedback path that selectively...
In this paper, we propose a novel hybrid QRD- MCMC MIMO detector that combines the features of a QRD-M detector and a Markov chain Monte Carlo (MCMC) detector. The QRD-M algorithm is applied first to obtain initial estimates of the transmitted signal vector. Subsequently, the QRD-M estimate is used to initialize one of the Gibbs samplers for MCMC detection. The MCMC detection reduces the M parameter...
We propose a soft-output detection scheme for multiple-input-multiple-output (MIMO) systems. The detector employs Markov chain Monte Carlo method to compute bit reliabilities from the signals received and is thus suited for coded MIMO systems. It offers a good trade-off between achievable performance and algorithmic complexity.
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