Non-resampling sequential Monte Carlo signal processing for coded OFDM systems

THOMAS SUSHIL JOHN

Publication

Non-resampling sequential Monte Carlo signal processing for coded OFDM systems

THOMAS SUSHIL JOHN

Abstract

Sequential Monte Carlo (SMC) is a group of methods that use Monte Carlo simulation to solve online estimation problems in dynamic systems. In this thesis, the SMC methodology is applied to the problem of symbol detection in differentially encoded orthogonal frequency division multiplexing (OFDM) and multia??input multia??output OFDM (MIMOa??OFDM) systems. Since the SMC methodology not only utilizes a priori symbol probabilities, but also produces a posteriori symbol probabilities, the proposed detectors may serve as the firsta??stage of a turbo receiver. The periodical termination of differential phase trellis at predetermined indices is first proposed. Results show that this method allows the resampling step that is present in conventional SMC methods to be circumvented. Using these observations, novel SMC detectors that circumvent resampling are then developed for coded OFDM and MIMOa??OFDM systems, respectively.