Performance analysis of GLRT-based adaptive detector for distributed targets in compound-Gaussian clutter

DOI10.1016/j.sigpro.2009.05.008zbMath1177.94097OpenAlexW2037521696MaRDI QIDQ1048767

Lingjiang Kong, Xiaofei Shuai, Jianyu Yang

Publication date: 8 January 2010

Published in: Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.sigpro.2009.05.008

zbMATH Keywords

distributed targetsgeneralized likelihood ratio test (GLRT)maximum likelihood (ML) estimationsecondary data

Mathematics Subject Classification ID

Detection theory in information and communication theory (94A13)

Related Items (6)

Combined adaptive normalized matched filter detection of moving target in sea clutter ⋮ Subspace detection for range and Doppler distributed targets with Rao and Wald tests ⋮ Parametric adaptive radar detector with enhanced mismatched signals rejection capabilities ⋮ Adaptive detection for distributed targets in Gaussian noise with Rao and Wald tests ⋮ AR-model-based adaptive detection of range-spread targets in compound Gaussian clutter ⋮ Performance analysis of a two-stage Rao detector

Cites Work

• Covariance matrix estimation for CFAR detection in correlated heavy tailed clutter
• Performance analysis of two structured covariance matrix estimators in compound-Gaussian clutter
• Covariance Structure Maximum-Likelihood Estimates in Compound Gaussian Noise: Existence and Algorithm Analysis

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