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• W1996452649 abstract "In this work, we address the problem of target detection from multiple noisy observations produced by a generic sensor. A two-step approach is considered, wherein a censoring stage retains the significant measurements (i.e., those whose likelihood ratio exceeds a primary threshold) in each frame, while a multiframe detector elaborates the preprocessed observations and takes the final decision through a generalized likelihood ratio test. A dynamic programming algorithm to form the decision statistic, which exploits the sparse nature of the censored observations, is proposed. A closed-form complexity analysis is provided, and a thorough performance assessment is undertaken to elicit the tradeoffs among censoring level, system complexity, and achievable performance." @default.
• W1996452649 created "2016-06-24" @default.
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• W1996452649 creator A5058791560 @default.
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• W1996452649 date "2014-07-01" @default.
• W1996452649 modified "2023-10-17" @default.
• W1996452649 title "Track-before-detect for multiframe detection with censored observations" @default.
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• W1996452649 doi "https://doi.org/10.1109/taes.2013.130148" @default.
• W1996452649 hasPublicationYear "2014" @default.
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