Weak signal detection algorithm for colored noise in laser guidance

Mengya Li*, Bo Mo

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

Correlation detection can be used to extract weak signals such as those weakened by noise and attenuation. However, complex background noise contains both white and colored noise. The white noise is independent in the time domain, whereas the colored noise has a certain dependency, and the correlation detection algorithm cannot extract useful signals from the background mixed with colored noise. An improved correlation detection algorithm for whitening colored noise is discussed. Simulation experiments show that for laser signal amplitude similar to the noise amplitude, the correlation detection algorithm can extract the pulse signal, and the white noise background has a significantly improved signal-to-noise ratio of 2.3 times higher than the colored noise background. The experiment also proves that the whitening algorithm discussed can extract weak laser signals very well.

Original languageEnglish
Article number033103
JournalOptical Engineering
Volume59
Issue number3
DOIs
Publication statusPublished - 1 Mar 2020

Keywords

  • colored noise
  • correlation detection
  • laser guidance
  • weak signal
  • whitening algorithm

Fingerprint

Dive into the research topics of 'Weak signal detection algorithm for colored noise in laser guidance'. Together they form a unique fingerprint.

Cite this