Study on double threshold detection based on constraint judgment

Wei Cui*, Xin Guo Zhu, Si Liang Wu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

Double threshold detection based on constraint judgment is proposed for weak signal detection. The improvement effect on Probability of False Alarm (PFA) and influence on Probability of Detection (PD) are quantitatively analyzed with constraint judgment. The mathematical models of total PFA and PD of double threshold detection based on constraint judgment are built, and the validity of the mathematical models is verified by simulation tests. The simulation results show that the signal-to-noise ratio under scheduled PFA and PD can be decreased by introducing constraint judgment to double threshold detection.

Original languageEnglish
Pages (from-to)2074-2078
Number of pages5
JournalDianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology
Volume31
Issue number9
Publication statusPublished - Sept 2009

Keywords

  • Constraint judgment
  • Double threshold detection
  • Performance analysis
  • Probability of False Alarm (PFA)
  • Weak signal detection

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