Sequential MCMC for spatial signal separation and restoration from an array of sensors

This paper addresses the implementation of sequential Markov Chain Monte Carlo (MCMC) estimation, also known as particle filtering, to signal separation and restoration problems, using a passive array of sensors. This proposed method offers significant advantages: 1) the signals mixed at the array can be well-separated in space and restored in an online fashion, 2) the assumption of a stationary environment over the interval can be relaxed, 3) …