Pattern-Aware Sequential Monte Carlo Detection for Generalized Space-Time Shift Keying

In the generalized space-time shift keying (G-STSK) modulation, the constraint of the activated dispersion matrix pattern makes the application of the sequential Monte Carlo (SMC) detector become nontrivial. In this paper, the pattern-aware variants of the stochastic SMC (SSMC) detector and the deterministic SMC (DSMC) detector for the G-STSK modulation are studied. Specifically, a pattern-aware importance sampling procedure is first presented to take into account the constraint of the activated dispersion matrix pattern in the SMC framework. Then, the SSMC detector generates symbol samples based on importance sampling and resampling techniques, whereas the DSMC detector recursively performs exploration and selection steps in a greedy manner. Computer simulation results are provided to demonstrate the performance of the SMC detectors.