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Trellis\u2010decomposition methods allow us to estimate the unknown channel phase since this phase relates to the sub\u2010trellises. We will determine a\u2010posteriori sub\u2010trellis probabilities, and use these probabilities for weighting the a\u2010posteriori symbol probabilities resulting from all the sub\u2010trellises. Alternatively we can determine a dominant sub\u2010trellis and use the a\u2010posteriori symbol probabilities corresponding to this dominant sub\u2010trellis. This dominant sub\u2010trellis approach results in a significant complexity reduction. We will investigate both iterative and non\u2010iterative methods. The advantage of non\u2010iterative methods is that their forwardbackward procedures are extremely simple; however, also their gain of 0.7\u2009dB, relative to two\u2010symbol differential detection (2SDD) at a BER of 10<jats:sup>\u22124<\/jats:sup>, is modest. Iterative procedures lead to the significantly larger gain of 3.7\u2009dB at a BER of 10<jats:sup>\u22124<\/jats:sup>for five iterations, where a part of this gain comes from 2D processing. Simulations of our iterative approach applied to the TU\u20106 (COST207) channel show that we get an improvement of 2.4\u2009dB at a Doppler frequency of 10\u2009Hz.<\/jats:p>","DOI":"10.1155\/2012\/394809","type":"journal-article","created":{"date-parts":[[2012,2,8]],"date-time":"2012-02-08T21:02:09Z","timestamp":1328734929000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Two\u2010Dimensional Iterative Processing for DAB Receivers Based on Trellis\u2010Decomposition"],"prefix":"10.1155","volume":"2012","author":[{"given":"Wim J.","family":"van Houtum","sequence":"first","affiliation":[]},{"given":"Frans M. 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