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Academic literature on the topic 'Tagless localization'

Author: Grafiati
Published: 14 March 2023

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Journal articles on the topic "Tagless localization"

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Ramezani Akhmareh, Alireza, Mihai Lazarescu, Osama Bin Tariq, and Luciano Lavagno. "A Tagless Indoor Localization System Based on Capacitive Sensing Technology." Sensors 16, no. 9 (September 7, 2016): 1448. http://dx.doi.org/10.3390/s16091448.

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Mercuri, Marco, Paweł Barmuta, Ping Jack Soh, Paul Leroux, and Dominique Schreurs. "Monostatic continuous-wave radar integrating a tunable wideband leakage canceler for indoor tagless localization." International Journal of Microwave and Wireless Technologies 9, no. 8 (May 22, 2017): 1583–90. http://dx.doi.org/10.1017/s1759078717000551.

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Continuous-wave (CW) radars have been recently investigated in healthcare aiming at contactless health monitoring. However, a major problem in monostatic CW architectures is represented by the unwanted leakage produced by poor isolation between transmitter and receiver, which can drastically decrease the receiver's sensitivity reducing therefore the radar dynamic range. Although this situation can be easily controlled in case of narrowband CW radar by an appropriate passive microwave design, it becomes much more complicated in case of stepped-frequency CW and frequency-modulated CW architectures that present an ultra-wideband nature. In this paper, a monostatic CW radar integrating a tunable wideband leakage canceler aiming at indoor tagless localization is presented and discussed. The use of the feedforward canceler allows a strong reduction of the unwanted leakage over the whole radar bandwidth. Experimental results demonstrate the feasibility of this approach, showing an outstanding improvement of the radar dynamic range.
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Denis, Stijn, Rafael Berkvens, and Maarten Weyn. "A Survey on Detection, Tracking and Identification in Radio Frequency-Based Device-Free Localization." Sensors 19, no. 23 (December 3, 2019): 5329. http://dx.doi.org/10.3390/s19235329.

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The requirement of active localization techniques to attach a hardware device to the targets that need to be located can be difficult or even impossible for certain applications. For this reason, there has been an increasing interest in tagless or device-free localization (DFL) approaches. In particular, the research domain of RF-based device-free localization has been steadily evolving since its inception slightly over a decade ago. Many novel techniques have been developed regarding the three core aspects of DFL: detection, tracking, and identification. The increasing use of channel state information (CSI) has contributed considerably to these developments. In particular, the progress it enabled regarding the exceptionally difficult `identification problem’ has been highly impressive. In this survey, we provide a comprehensive overview of this evolutionary process, describe essential DFL concepts and highlight several key techniques whose creation marked important milestones within this field of research. We do so in a structured manner in which each technique is categorized according to the DFL core aspect it emphasizes most. Additionally, we discuss current blocking issues within the state-of-the-art and suggest multiple high-level research directions which will aid in the search towards eventual solutions.
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Conference papers on the topic "Tagless localization"

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Mercuri, M., P. Karsmakers, P. Leroux, D. Schreurs, and A. Beyer. "Real-time fall detection and tagless localization using radar techniques." In 2015 IEEE 16th Annual Wireless and Microwave Technology Conference (WAMICON). IEEE, 2015. http://dx.doi.org/10.1109/wamicon.2015.7120363.

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Iqbal, Javed, Mihai Teodor Lazarescu, Osama Bin Tariq, and Luciano Lavagno. "Long range, high sensitivity, low noise capacitive sensor for tagless indoor human localization." In 2017 7th IEEE International Workshop on Advances in Sensors and Interfaces (IWASI). IEEE, 2017. http://dx.doi.org/10.1109/iwasi.2017.7974248.

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Iqbal, Javed, Mihai Teodor Lazarescu, Arslan Arif, and Luciano Lavagno. "High sensitivity, low noise front-end for long range capacitive sensors for tagless indoor human localization." In 2017 IEEE 3rd International Forum on Research and Technologies for Society and Industry - Innovation to Shape the Future for Society and Industry (RTSI). IEEE, 2017. http://dx.doi.org/10.1109/rtsi.2017.8065966.

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