Consistency and robustness of PDAF for target tracking in cluttered environments

DOI10.1016/0005-1098(83)90059-6zbMath0515.93058OpenAlexW2424162404MaRDI QIDQ1052289

Yaakov Bar-Shalom, Kailash Birmiwal

Publication date: 1983

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0005-1098(83)90059-6

zbMATH Keywords

state estimationtarget trackingKalman filterscluttered environmentsprobabilistic data association filter

Mathematics Subject Classification ID

Parametric tolerance and confidence regions (62F25) Robustness and adaptive procedures (parametric inference) (62F35) Filtering in stochastic control theory (93E11) Monte Carlo methods (65C05)

Related Items (1)

Integrated probabilistic data association-finite resolution

Cites Work

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• Tracking in a cluttered environment with probabilistic data association
• Detection thresholds for tracking in clutter--A connection between estimation and signal processing
• Derivation and evaluation of improved tracking filter for use in dense multitarget environments
• Tracking methods in a multitarget environment

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