Low-cost millimeter-wave radio-frequency sensors: New applications enabled by developments in low cost chipsets

Roff, C.; Henderson, J. R.; Clarke, Damien; Walden, Marcus C.; Fitz, Steve

doi:10.1109/icsens.2017.8234236

Cited by 2 publications

(2 citation statements)

References 4 publications

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“…Continuous advancement in sensor technology and wireless networking has made it feasible to widely deploy distributed decision-making systems [1] allowing for decisions to be made from vast amounts of data with increased efficiency, robustness and accuracy. The Internet of Things (IoT) is an embodiment of this trend that seeks to establish itself in everyday life and is impacting industries such as manufacturing, healthcare, transportation, retail and utilities [2], [3].…”

Section: Introductionmentioning

confidence: 99%

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Change Detection for Large Distributed Sensor Networks With Multitriggered Local Sensors

Quarisa

Blostein

2022

IEEE Access

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The emergence of large sensor networks and the Internet of Things has reinvigorated interest into distributed quickest change detection. Important shortcomings of existing approaches are ease of design, flexibility in communication, and applicability to larger networks. The new approach proposed in this work features local sensors that can be triggered multiple times, i.e., can reset and continue monitoring after transmitting their decisions. With larger sensor networks as a focus, the system allows for multiple simultaneous transmissions to a fusion center within bandwidth limitations. The proposed system uses the cumulative-sum procedure at local sensors to binarize local decisions, which are then transmitted to the fusion center that also employs cumulative-sum quickest detection. Test overdesign due to sequential test overshoot is avoided, and global and local thresholds are chosen to meet a desired false alarm rate constraint using numerical computation of expected delay performance. The system compares favourably to several existing methods while offering greater flexibility in the amount of fusion center communication.INDEX TERMS Sequential change detection, distributed detection, sequential probability ratio test, CUSUM, sensor networks, decision fusion.

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Section: Introductionmentioning

confidence: 99%

“…FIGURE 3.Comparison of proposed ARL between proposed method, Monte Carlo simulation, and (25), (26) for a shift in mean N(0,1) vs N(1,1) test.…”

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confidence: 99%

Change Detection for Large Distributed Sensor Networks With Multitriggered Local Sensors

Quarisa

Blostein

2022

IEEE Access

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Sectoral Horn and Patch Array Antenna Design for a 76–81 GHz High-Resolution Tomographic Radar

Rahamtulla

Och

Hölzl

et al. 2020

2020 IEEE Radar Conference (RadarConf20)

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Low-cost millimeter-wave radio-frequency sensors: New applications enabled by developments in low cost chipsets

Cited by 2 publications

References 4 publications

Change Detection for Large Distributed Sensor Networks With Multitriggered Local Sensors

Change Detection for Large Distributed Sensor Networks With Multitriggered Local Sensors

Sectoral Horn and Patch Array Antenna Design for a 76–81 GHz High-Resolution Tomographic Radar

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