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      • Department of Electrical and Electronics Engineering
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      Optimal signaling and detector design for power-constrained binary communications systems over non-Gaussian channels

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      Author
      Göken, C.
      Gezici, Sinan
      Arıkan, Orhan
      Date
      2010
      Source Title
      IEEE Communications Letters
      Print ISSN
      1089-7798
      Publisher
      IEEE
      Volume
      14
      Issue
      2
      Pages
      100 - 102
      Language
      English
      Type
      Article
      Item Usage Stats
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      Abstract
      In this letter, joint optimization of signal structures and detectors is studied for binary communications systems under average power constraints in the presence of additive non-Gaussian noise. First, it is observed that the optimal signal for each symbol can be characterized by a discrete random variable with at most two mass points. Then, optimization over all possible two mass point signals and corresponding maximum a posteriori probability (MAP) decision rules are considered. It is shown that the optimization problem can be simplified into an optimization over a number of signal parameters instead of functions, which can be solved via global optimization techniques, such as particle swarm optimization. Finally, the improvements that can be obtained via the joint design of the signaling and the detector are illustrated via an example.
      Keywords
      MAP decision rule
      Permalink
      http://hdl.handle.net/11693/22442
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/LCOMM.2010.02.091875
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      • Department of Electrical and Electronics Engineering 3524
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