2014 International Radar Conference 2014
DOI: 10.1109/radar.2014.7060253
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Effectiveness-based radar resource management for target tracking

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Cited by 4 publications
(3 citation statements)
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“…The concepts of attention and CPU load, as discussed in the context of vision-based perception, share similarities with revisit and dwell-times in radar-based perception. Revisit time in a radar corresponds to the interval between consecutive detections, while dwell-time represents the time it takes for the sensor to generate a detection [14]. Both times have an impact on detection accuracy and energy consumption.…”
Section: Problem Statementmentioning
confidence: 99%
See 1 more Smart Citation
“…The concepts of attention and CPU load, as discussed in the context of vision-based perception, share similarities with revisit and dwell-times in radar-based perception. Revisit time in a radar corresponds to the interval between consecutive detections, while dwell-time represents the time it takes for the sensor to generate a detection [14]. Both times have an impact on detection accuracy and energy consumption.…”
Section: Problem Statementmentioning
confidence: 99%
“…In many TT approaches, the perception configuration can be modified to improve accuracy at the expense of a longer perception-latency [13], leading to a perception-latency/accuracy trade-off. For radar-based perception, the term dwell-time refers to the time taken by the radar to acquire a measurement [14], which is considered part of the perception latency and introduces a similar trade-off between quality and duration.…”
Section: Introductionmentioning
confidence: 99%
“…McCarthy Panel [9] uses multisensor cross cueing technology to simulate and verify the scene where SAR and MTI detect the whole target area together. Katsilieris and Narykov make study on the functions of cueing between different kinds of sensors and put forward the sensor-managing methods in the condition of cueing [10,11]. Salvagnini and Muratore discuss sensor cueing opportunity and methods when there are different kinds of sensors in multiple platforms [12,13].…”
Section: Introductionmentioning
confidence: 99%