Abstract | ||
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A new solution for evaluating the symbol error probability (SEP) of MPSK with arbitrary values of M is derived. Evaluation of the SEP for all values of M other than 2 and 4 currently requires numerical integration. It is shown that the SEP can be expressed in terms of the Gaussian Q-function and the bivariate Gaussian distribution for any value of M. |
Year | DOI | Venue |
---|---|---|
2013 | 10.1109/LCOMM.2012.111612.121941 | Communications Letters, IEEE |
Keywords | Field | DocType |
Gaussian distribution,error statistics,integration,phase shift keying,Gaussian Q-function,M-ary phase shift keying,MPSK,SEP evaluation,arbitrary values,bivariate Gaussian distribution,numerical integration,symbol error probability,Bivariate Gaussian distribution,MPSK,Q-function,symbol error probability | Gaussian filter,Applied mathematics,Inverse Gaussian distribution,Gaussian random field,Generalized inverse Gaussian distribution,Real-time computing,Gaussian,Gaussian process,Statistics,Gaussian noise,Gaussian function,Mathematics | Journal |
Volume | Issue | ISSN |
17 | 1 | 1089-7798 |
Citations | PageRank | References |
1 | 0.38 | 4 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Norman C. Beaulieu | 1 | 2372 | 285.49 |
Chunxing Jiang | 2 | 1 | 0.38 |