A method for long-term signal integral detection of weak targets

Hai Li*, Si Liang Wu, Li Mo

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

Abstract

A novel method for the long-term signal integral detection of weak targets is presented. The signal is divided into several frames in time domain. In each frame, the HAF spectrum is filtered with certain threshold to preserve the object information and eliminate the interference and noise. And then all frames are accumulated. Simulation results show that the method can integrate the signal and enhance available energy effectively, which can achieve the similar detection result to HAF, with 1/4 or 1/8 of quantity of the memory.

Original languageEnglish
Pages (from-to)614-617
Number of pages4
JournalBeijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume21
Issue number5
Publication statusPublished - 2001

Keywords

  • High-order ambiguity function
  • Signal noise ratio
  • Threshold detection

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