243 research outputs found

    Approximate inference in hidden Markov models using iterative active state selection

    Get PDF

    PDA-BCJR algorithm for factorial hidden Markov models with application to MIMO equalisation

    Get PDF
    Publication in the conference proceedings of EUSIPCO, Florence, Italy, 200

    A modified Alamouti scheme for frequency selective channels incorporating turbo equalization

    Get PDF

    Joint space-time trellis code detection and MIMO equalisation via particle filtering

    Get PDF
    In this contribution we address the problem of MIMO equalisation and transmit diversity. More specifically, we develop a method that jointly decodes space time trellis coded modulation (STTCM) encoded signals and equalises the MIMO channels. The optimal solution for such a setup would require construction of a super-trellis that describes a finite state machine resulting from the combination of MIMO channel and STTCM trellises. However, the number of states in this super-trellis is typically gigantic and as such prohibits practical application. Our solution is based on sequential Monte Carlo technique (aka particle filter), which has gained much interest recently in the communications community. The structure of the STTCM code is incorporated into the proposal distribution of the particle filter. As a results a significant reduction in complexity has been achieved as compared not only to the brute force super-trellis approach, but also when compared to the conventional "turbo" solutio

    Performance of the EP-MBCJR algorithm in time dispersive MIMO office environments

    Get PDF

    Gaussian approximation based mixture reduction for near optimum detection in MIMO systems

    Get PDF

    Particle smoothing techniques with turbo principle for MIMO systems

    Get PDF
    corecore