Adaptive detection for distributed targets in Gaussian noise with Rao and Wald tests

DOI10.1007/S11432-011-4417-2zbMath1245.94048OpenAlexW2261039809MaRDI QIDQ439808

Xiaofei Shuai, Lingjiang Kong, Jianyu Yang

Publication date: 17 August 2012

Published in: Science China. Information Sciences (Search for Journal in Brave)

Full work available at URL: http://engine.scichina.com/doi/10.1007/s11432-011-4417-2

zbMATH Keywords

maximum likelihood estimatoradaptive detectiondistributed targetsRao and Wald tests

Mathematics Subject Classification ID

Hypothesis testing in multivariate analysis (62H15) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Non-Markovian processes: hypothesis testing (62M07) Asymptotic properties of parametric tests (62F05)

Related Items (3)

Performance analysis of reduced-dimension subspace signal filtering and detection in sample-starved environment ⋮ Performance analysis of adaptive detectors for a distributed target based on subspace model ⋮ Wald tests for direction detection in noise and interference

Cites Work

• Performance analysis of GLRT-based adaptive detector for distributed targets in compound-Gaussian clutter
• Covariance matrix estimation for CFAR detection in correlated heavy tailed clutter
• Rao Test for Adaptive Detection in Gaussian Interference With Unknown Covariance Matrix
• Parametric GLRT for Multichannel Adaptive Signal Detection

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