Adaptive Radar Detection without Secondary Data for Uncooperative Spectrum Sharing Scenarios

Angelo Coluccia, Giuseppe Ricci, Christ D. Richmond

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


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)
Article number9439911
Pages (from-to)3206-3219
Number of pages14
JournalIEEE Transactions on Signal Processing
StatePublished - 2021


  • Radar
  • autoregressive models
  • generalized likelihood ratio test
  • radar/communication coexistence

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering


Dive into the research topics of 'Adaptive Radar Detection without Secondary Data for Uncooperative Spectrum Sharing Scenarios'. Together they form a unique fingerprint.

Cite this