Distributed Target Detection Based on the Volume Cross-Correlation Function

Le Xiao, Hongbin Li, Yimin Liu, Xiqin Wang

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

This letter addresses the detection of a subspace distributed target signal obscured by disturbance. The disturbance consists of a clutter component with an unknown subspace structure and a white noise component with unknown noise power. A detection strategy is proposed based on the volume cross-correlation function, which provides a metric that measures the linear (in) dependency between two subspaces. Simulation results indicate that the proposed detector can achieve better performance than several peer methods, without resorting to secondary data and a priori knowledge about the clutter subspace including its rank.

Original languageEnglish
Article number8490697
Pages (from-to)1785-1789
Number of pages5
JournalIEEE Signal Processing Letters
Volume25
Issue number12
DOIs
StatePublished - Dec 2018

Keywords

  • Distributed target detection
  • subspace target
  • volume cross-correlation (VCC) function

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