Multiple objects detection and tracking in passive scanning millimeter-wave imaging systems

Klochko, V. K.; Strotov, Valery V.; Smirnov, Sergey

doi:10.1117/12.2532546

Cited by 5 publications

(3 citation statements)

References 9 publications

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“…Several studies focus on the creation of these systems [23], [34]. In addition, several studies perform multiple object detection and tracking [20], hidden object detection [19], [21], [22], [25], [28], [31], and military target detection [26] with analytical models that take passive millimeter wave images as input data. Another group of radiometers generates one dimensional radiation profiles.…”

Section: Review Methodologymentioning

confidence: 99%

Millimeter Wave Sensing: A Review of Application Pipelines and Building Blocks

et al. 2021

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The increasing bandwidth requirement of new wireless applications has lead to standardization of the millimeter wave spectrum for high-speed wireless communication. The millimeter wave spectrum is part of 5G and covers frequencies between 30 and 300 GHz that correspond to wavelengths ranging from 10 to 1 mm. Although millimeter wave is often considered as a communication medium, it has also proved to be an excellent 'sensor', thanks to its narrow beams, operation across a wide bandwidth, and interaction with atmospheric constituents. In this paper, which is to the best of our knowledge the first review that completely covers millimeter wave sensing application pipelines, we provide a comprehensive overview and analysis of different basic application pipeline building blocks, including hardware, algorithms, analytical models, and model evaluation techniques. The review also provides a taxonomy that highlights different millimeter wave sensing application domains. By performing a thorough analysis, complying with the systematic literature review methodology and reviewing 165 papers, we not only extend previous investigations focused only on communication aspects of the millimeter wave technology and using millimeter wave technology for active imaging, but also highlight scientific and technological challenges and trends, and provide a future perspective for applications of millimeter wave as a sensing technology.

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Section: Review Methodologymentioning

confidence: 99%

Millimeter Wave Sensing: A Review of Application Pipelines and Building Blocks

et al. 2021

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show abstract

Section: Review Methodologymentioning

confidence: 99%

Millimeter Wave Sensing: A Review of Application Pipelines and Building Blocks

Berlo¹,

Elkelany²,

Özçelebi³

et al. 2020

Preprint

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The increasing bandwidth requirement of new wireless applications has lead to standardization of the millimeter wave spectrum for high-speed wireless communication. The millimeter wave spectrum is part of 5G and covers frequencies between 30 and 300 GHz corresponding to wavelengths ranging from 10 to 1 mm. Although millimeter wave is often considered as a communication medium, it has also proved to be an excellent 'sensor', thanks to its narrow beams, operation across a wide bandwidth, and interaction with atmospheric constituents. In this paper, which is to the best of our knowledge the first review that completely covers millimeter wave sensing application pipelines, we provide a comprehensive overview and analysis of different basic application pipeline building blocks, including hardware, algorithms, analytical models, and model evaluation techniques. The review also provides a taxonomy that highlights different millimeter wave sensing application domains. By performing a thorough analysis, complying with the systematic literature review methodology and reviewing 165 papers, we not only extend previous investigations focused only on communication aspects of the millimeter wave technology and using millimeter wave technology for active imaging, but also highlight scientific and technological challenges and trends, and provide a future perspective for applications of millimeter wave as a sensing technology.

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“…Based on the recognition of scenarios, the system, proposed in this research, triggers support vector machine (SVM) and K Nearest Neighbor (KNN), separately, to detect the amateur drones in the restricted areas. To achieve the tracking efficiency, the authors, in [94], [95], [96], [97], implemented multiple sensing algorithms on the passive mm-wave radar system to achieve the different accuracy of tracking according to the requirement of the recognition.…”

Section: ) Multiple Sensing Algorithm Fusionmentioning

confidence: 99%

Counter-Unmanned Aircraft System(s) (C-UAS): State of the Art, Challenges and Future Trends

Wang,

Liu,

Song

2020

Preprint

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Unmanned aircraft systems (UAS), or unmanned aerial vehicles (UAVs), often referred to as drones, have been experiencing healthy growth in the United States and around the world. The positive uses of UAS have the potential to save lives, increase safety and efficiency, and enable more effective science and engineering research. However, UAS are subject to threats stemming from increasing reliance on computer and communication technologies, which place public safety, national security, and individual privacy at risk. To promote safe, secure and privacyrespecting UAS operations, there is an urgent need for innovative technologies for detecting, tracking, identifying and mitigating UAS. A Counter-UAS (C-UAS) system is defined as a system or device capable of lawfully and safely disabling, disrupting, or seizing control of an unmanned aircraft or unmanned aircraft system. Over the past 5 years, significant research efforts have been made to detect, and mitigate UAS: detection technologies are based on acoustic, vision, passive radio frequency, radar, and data fusion; and mitigation technologies include physical capture or jamming. In this paper, we provide a comprehensive survey of existing literature in the area of C-UAS, identify the challenges in countering unauthorized or unsafe UAS, and evaluate the trends of detection and mitigation for protecting against UASbased threats. The objective of this survey paper is to present a systematic introduction of C-UAS technologies, thus fostering a research community committed to the safe integration of UAS into the airspace system.

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Multiple objects detection and tracking in passive scanning millimeter-wave imaging systems

Cited by 5 publications

References 9 publications

Millimeter Wave Sensing: A Review of Application Pipelines and Building Blocks

Millimeter Wave Sensing: A Review of Application Pipelines and Building Blocks

Millimeter Wave Sensing: A Review of Application Pipelines and Building Blocks

Counter-Unmanned Aircraft System(s) (C-UAS): State of the Art, Challenges and Future Trends

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