Adaptive radar detection without secondary data for uncooperative spectrum sharing scenarios

Angelo Coluccia, Giuseppe Ricci, Christ D. Richmond

Research output: Contribution to journalArticlepeer-review

Abstract

We address the design of GLRT-based, space-time radar detectors in presence of a communication signal. We consider a disturbance that is either spatially correlated and temporally white or spatially and temporally correlated. The former case assumes that the disturbance is modeled in terms of a scalar autoregressive filter while the latter case exploits a vector autoregressive filter. The filter parameters are unknown while the order is a design parameter. Finally, the direction of arrival of the communication signal is known. The analysis, conducted in comparison to natural competitors, also under mismatched conditions, shows the potential of the proposed approach.

Original languageEnglish (US)
JournalIEEE Transactions on Signal Processing
DOIs
StateAccepted/In press - 2021

Keywords

  • autoregressive models
  • Clutter
  • Covariance matrices
  • Data models
  • Detectors
  • generalized likelihood ratio test
  • Radar
  • Radar
  • Radar detection
  • radar/communication coexistence
  • Training data

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

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