• Electronics Optics & Control
  • Vol. 24, Issue 1, 14 (2017)
DU Hao1, BI Da-ping1、2, and LI Min-le1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • show less
    DOI: 10.3969/j.issn.1671-637x.2017.01.004 Cite this Article
    DU Hao, BI Da-ping, LI Min-le. Scheduling Method of Electronic Support Measure Based on Bayesian Theory[J]. Electronics Optics & Control, 2017, 24(1): 14 Copy Citation Text show less

    Abstract

    Considering the deficiency of signal interception in Electronic Support Measure (ESM), a new method was proposed under the reverse thinking of taking the characteristics of targets as the primary index.First, the known intelligence from different sources is fused via Beta distribution, and then the probability distribution of the next moment is estimated by using the instrument of Bayesian theory.Based on the probability distribution, a resource scheduling method is proposed by using the theory of optimal search and Shannon entropy.Finally, the simulation results proves the effectiveness of this method according to three indexes as the total number of interception, the remained uncertainty of task domain and intercept time used.
    DU Hao, BI Da-ping, LI Min-le. Scheduling Method of Electronic Support Measure Based on Bayesian Theory[J]. Electronics Optics & Control, 2017, 24(1): 14
    Download Citation