Journal of Sensor Networks and Data Communications(JSNDC)

Independent Researcher, Russian Federation, Russia

Publications

• Research Article   
  Bayesian Identifying One or Two Close Sources by Gaussian Estimates of Planar Location under Double Emission
  Author(s): Oleg I. Gerasimov*
  
  In case the separation for the parameters of interest appears below the resolution limit of the estimator, the ambiguity arises whether the two parameter estimates relate to one source emitted twice or to two close sources emitted once. The paper develops novel Bayes technique aimed to identify one/two closely spaced sources having a pair of Gaussian estimates of planar location as parameter. Prior probabilities of the one/two-sources hypotheses are available from the analysis of the physical characteristics of the emissions, assuming that they can be equally probable. The technique calculates minimal and maximal posterior probabilities of the hypotheses across all the positions at a given distance between them. When the minimal probability of one source is bigger than the maximal probability of two sources the decision is adopted in favor of one source and vice versa. Identification .. Read More»
  

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