A comprehensive approach to DOA estimation using higher-order statistics

DOI10.1007/BF01201507zbMath0918.94004OpenAlexW1999569166MaRDI QIDQ1272639

Frederick W. Fairman, Zhenghao Shi

Publication date: 3 January 1999

Published in: Circuits, Systems, and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf01201507

zbMATH Keywords

estimationcumulantsGaussian noiseMUSICDOAESPRIT

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Estimation and detection in stochastic control theory (93E10) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Canonical forms, reductions, classification (15A21)

Cites Work

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• Direction finding algorithms based on high-order statistics
• Noise correlation functions for anisotropic noise fields
• Performance analysis of the total least squares ESPRIT algorithm
• Bearing estimation in the bispectrum domain
• A state-space approach to discrete-time spectral factorization
• An interference-tolerant algorithm for localization of cyclostationary-signal sources
• Direction-of-arrival estimation via exploitation of cyclostationary-a combination of temporal and spatial processing
• Cumulant based identification of multichannel moving-average models

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