Asymptotic Comparison of ML and MAP Detectors for Multidimensional Constellations

29 Jun 2017 Alvarado Alex Agrell Erik Brännström Fredrik

A classical problem in digital communications is to evaluate the symbol error probability (SEP) and bit error probability (BEP) of a multidimensional constellation over an additive white Gaussian noise channel. In this paper, we revisit this problem for nonequally likely symbols and study the asymptotic behavior of the optimal maximum a posteriori (MAP) detector... (read more)

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  • INFORMATION THEORY
  • INFORMATION THEORY