Relevant bibliographies by topics / Indoor Channel Characterization

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Indoor Channel Characterization'

Author: Grafiati
Published: 4 June 2021
Last updated: 2 February 2022

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Journal articles on the topic "Indoor Channel Characterization"

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Pakravan, M. R., and M. Kavehrad. "Indoor wireless infrared channel characterization by measurements." IEEE Transactions on Vehicular Technology 50, no. 4 (July 2001): 1053–73. http://dx.doi.org/10.1109/25.938580.

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Anatory, J., N. Theethayi, and R. Thottappillil. "Channel Characterization for Indoor Power-Line Networks." IEEE Transactions on Power Delivery 24, no. 4 (October 2009): 1883–88. http://dx.doi.org/10.1109/tpwrd.2009.2021044.

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Keshvadi, Hatef, Ali Broumandan, and Gérard Lachapelle. "Spatial Characterization of GNSS Multipath Channels." International Journal of Antennas and Propagation 2012 (2012): 1–15. http://dx.doi.org/10.1155/2012/236464.

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There is a growing interest in detecting and processing Global Navigation Satellite System (GNSS) signals in indoors and urban canyons by handheld devices. To overcome the signal attenuation problem in such adverse fading environments, long coherent integration is normally used. Moving the antenna arbitrarily while collecting signals is generally avoided as it temporally decorrelates the signals and limits the coherent integration gain. This decorrelation is a function of the antenna displacement and geometry of reflectors and angle of arrival of the received signal. Hence, to have an optimum receiver processing strategy it is crucial to characterize the multipath fading channel parameters. Herein, Angle of Arrival (AoA) and Angle Spread (AS) along with signal spatial correlation coefficient and fading intensity in GNSS multipath indoor channels are defined and quantified theoretically and practically. A synthetic uniform circular array utilizing a right-hand circular polarized (RHCP) antenna has been used to measure the spatial characteristics of indoor GNSS fading channels. Furthermore, rotating effect of a circular polarized antenna on the synthetic array processing and AoA estimation has been characterized. The performance of the beamforming technique via array gain is also assessed to explore the advantages and limitations of beamforming in fading conditions.
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Oestges, C., D. Vanhoenacker-Janvier, and B. Clerckx. "Channel Characterization of Indoor Wireless Personal Area Networks." IEEE Transactions on Antennas and Propagation 54, no. 11 (November 2006): 3143–50. http://dx.doi.org/10.1109/tap.2006.883962.

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Oliveira, Thiago, Fernando Andrade, Antonio Picorone, Haniph Latchman, Sergio Lima Netto, and Moises Ribeiro. "Characterization of Hybrid Communication Channel in Indoor Scenario." Journal of Communication and Information Systems 31, no. 1 (2016): 224–35. http://dx.doi.org/10.14209/jcis.2016.20.

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Campos, Millena Michely Medeiros, Mateus Oliveira Mattos, Rafael Silva Macedo, Alvaro Augusto Machado Medeiros, Wellerson Viana Oliveira, and Vicente Angelo Sousa Junior. "People effects on IoT indoor wireless channel characterization." Revista Principia - Divulgação Científica e Tecnológica do IFPB 1, no. 53 (February 3, 2021): 141. http://dx.doi.org/10.18265/1517-0306a2020v1n53p141-149.

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Nguyen, Hung Tuan, Jørgen Bach Andersen, and Gert Frølund Pedersen. "Characterization of the Indoor/Outdoor to Indoor MIMO Radio Channel at 2.140 GHz." Wireless Personal Communications 35, no. 3 (November 2005): 289–309. http://dx.doi.org/10.1007/s11277-005-6188-9.

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Kim, Seunghwan, Wasif Tanveer Khan, Alenka Zajic, and John Papapolymerou. "D-Band Channel Measurements and Characterization for Indoor Applications." IEEE Transactions on Antennas and Propagation 63, no. 7 (July 2015): 3198–207. http://dx.doi.org/10.1109/tap.2015.2426831.

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Babich, F., and G. Lombardi. "Statistical analysis and characterization of the indoor propagation channel." IEEE Transactions on Communications 48, no. 3 (March 2000): 455–64. http://dx.doi.org/10.1109/26.837048.

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Nabetani, Toshihisa, Hiroki Yabu, Eiichi Ohkuma, and Mamoru Fukui. "Wireless Channel Characterization for Indoor Environment in Thermal Power Plant." IEEJ Transactions on Electronics, Information and Systems 135, no. 10 (2015): 1152–59. http://dx.doi.org/10.1541/ieejeiss.135.1152.

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Dissertations / Theses on the topic "Indoor Channel Characterization"

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Ha, Sean Anthony. "3.5 GHz Indoor Propagation Modeling and Channel Characterization." Thesis, Virginia Tech, 2015. http://hdl.handle.net/10919/53949.

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In the push for spectrum sharing and open spectrum access, the 3.5 GHz frequency band is under consideration for small cells and general Wireless Local Area Networks (WLAN) in the United States. The same band is beginning to see deployment in China, Japan, and South Korea, for the 4G Long Term Evolution (LTE) cellular standard to increase coverage and capacity in urban areas through small cell deployment. However, since the adoption of this band is new, there is a distinct shortage of propagation data and accurate channel modeling at 3.5 GHz in indoor environments. These models are necessary for cellular coverage planning and evaluating the performance and feasibility of wireless systems. This report presents the results of a fixed wireless channel measurement campaign at 3.5 GHz. Measurements were taken in environments typical of indoor wireless deployment: traditional urban indoor office, hallway, classroom, computer laboratory, and atrium areas, as well as within a hospital. Primarily Non Line of Sight (NLOS) experiments were carried out in areas with a controllable amount of partitions separating the transmitter and receiver in order to document material-based attenuation values. Indoor-to-outdoor measurements were carried out, focusing on attenuation due to common exterior building materials such as concrete, brick, wood, and reinforced glass. Documented metrics include large scale path loss, log-normal shadowing, and channel power delay profiles combined with delay spread characteristics for multipath analysis. The statistical multi-antenna diversity gain was evaluated to gauge the benefit of using multi-antenna systems in an indoor environment, which has much greater spatial diversity than an outdoor environment. Measurements were compared to indoor path loss models used for WLAN planning in the low GHz range to investigate the applicability of extending these models to 3.5 GHz.
Master of Science
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Licht, Udo Carleton University Dissertation Engineering Systems and Computer. "Characterization of 29 GHz indoor radio channels using A 2-channel angle diversity system." Ottawa, 1996.

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3

Morrison, Gerald Dale. "Measurement, characterization, and modelling of the indoor radio propagation channel." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/nq64829.pdf.

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Sakarai, Deesha S. "Wireless Channel Characterization for Large Indoor Environments at 5 GHz." Ohio University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1338494030.

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Golmohamadi, Marcia. "Multi-Polarized Channel Characterization." ScholarWorks @ UVM, 2019. https://scholarworks.uvm.edu/graddis/1026.

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Machine-to-machine (M2M) communication is becoming an important aspect of warehouse management, remote control, robotics, traffic control, supply chain management, fleet management and telemedicine. M2M is expected to become a significant portion of the Industrial Internet and, more broadly, the Internet of Things (IoT). The environments in which M2M systems are expected to operate may be challenging in terms of radio wave propagation due to their cluttered, multipath nature, which can cause deep signal fades and signal depolarization. Polarization diversity in two dimensions is a well-known technique to mitigate such fades. But in the presence of reflectors and retarders where multipath components arrive from any direction, we find the detrimental effects to be three-dimensional and thus consider herein mitigation approaches that are also 3D. The objectives of this dissertation are three. First, to provide a theoretical framework for depolarization in three dimensions. Second, to prepare a tripolar antenna design that meets cost, power consumption, and simplicity requirements of M2M applications and that can mitigate the expected channel effects. Finally, to develop new channel models in three dimensional space for wireless systems. Accordingly, this dissertation presents a complete description of 3D electromagnetic fields, in terms of their polarization characteristics and confirms the advantage of employing tripolar antennas in multipath conditions. Furthermore, the experimental results illustrate that highly variable depolarization occurs across all three spatial dimensions and is dependent on small changes in frequency and space. Motivated by these empirical results, we worked with a collaborating institution to develop a three-dimensional tripolar antenna that can be integrated with a commercially available wireless sensor. This dissertation presents the testing results that show that this design significantly improves channels over traditional 2D approaches. The implications of tripolar antenna integration on M2M systems include reduction in energy use, longer wireless communication link distances, and/or greater link reliability. Similar results are shown for a planar antenna design that enables four different polarization configurations. Finally, the work presents a novel three-dimensional geometry-based stochastic channel model that builds the channel as a sum of shell-like sub-regions, where each sub-region consists of groups of multipath components. The model is validated with empirical data to show the approach may be used for system analyses in indoor environments.
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Hibbard, Daniel James. "The Impact of Signal Bandwidth on Indoor Wireless Systems in Dense Multipath Environments." Thesis, Virginia Tech, 2004. http://hdl.handle.net/10919/9945.

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Recently there has been a significant amount of interest in the area of wideband and ultra-wideband (UWB) signaling for use in indoor wireless systems. This interest is in part motivated by the notion that the use of large bandwidth signals makes systems less sensitive to the degrading effects of multipath propagation. By reducing the sensitivity to multipath, more robust and higher capacity systems can be realized. However, as signal bandwidth is increased, the complexity of a Rake receiver (or other receiver structure) required to capture the available power also increases. In addition, accurate channel estimation is required to realize this performance, which becomes increasingly difficult as energy is dispersed among more multipath components. In this thesis we quantify the channel response for six signal bandwidths ranging from continuous wave (CW) to 1 GHz transmission bandwidths. We present large scale and small scale fading statistics for both LOS and NLOS indoor channels based on an indoor measurement campaign conducted in Durham Hall at Virginia Tech. Using newly developed antenna positioning equipment we also quantify the spatial correlation of these signals. It is shown that the incremental performance gains due to reduced fading of large bandwidths level off as signals approach UWB bandwidths. Furthermore, we analyze the performance of Rake receivers for the different signal bandwidths and compare their performance for binary phase modulation (BPSK). It is shown that the receiver structure and performance is critical in realizing the reduced fading benefit of large signal bandwidths. We show practical channel estimation degrades performance more for larger bandwidths. We also demonstrate for a fixed finger Rake receiver there is an optimal signal bandwidth beyond which increased signal bandwidth produces degrading results.
Master of Science
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Sundaram, Preethi. "New Results For Characterization Of Indoor Channels In Two Ism Bands (900-928 Mhz And 2.4-2.5 Ghz)." Ohio University / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1140462634.

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Hicks, Trevor J. "Time spread characterization of outdoor microcellular and indoor wireless 1.9 GHz radio channels." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp04/mq20651.pdf.

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Hendrantoro, Gamantyo. "Characterization of 29.5 GHz broadband indoor radio channels using a steerable receive antenna." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp04/mq22120.pdf.

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Hendrantoro, Gamantyo Carleton University Dissertation Engineering Systems and Computer. "Characterization of 29.5 GHz broadband indoor radio channels using a steerable receive antenna." Ottawa, 1997.

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Books on the topic "Indoor Channel Characterization"

1

Gayowsky, Gregory Ronald. Indoor radio channel characterization. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1991.

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Book chapters on the topic "Indoor Channel Characterization"

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Chaibi, H., R. Saadane, My A. Faqihi, and M. Belkasmi. "Spatial Correlation Characterization for UWB Indoor Channel Based on Measurements." In Lecture Notes in Computer Science, 149–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31254-0_17.

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Bera, Soumyasree, and Subir Kumar Sarkar. "Review on Indoor Channel Characterization for Future Generation Wireless Communications." In Advances in Communication, Devices and Networking, 349–56. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-3450-4_38.

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Guguen, Philippe, and Ghaïs El Zein. "MIMO Channel Characterization for Indoor WLAN Applications — A Second-order Statistical Approach." In Adaptive Antenna Arrays, 360–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-05592-2_21.

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Aggarwal, Ankita, and Gurmeet Kaur. "Optical Wireless Channel Characterization Based on OOK Modulation for Indoor Optical Wireless Communication System Using WT-ANN." In Mobile Radio Communications and 5G Networks, 619–27. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-7130-5_48.

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Aggarwal, Ankita, and Gurmeet Kaur. "Indoor Optical Wireless Communication System Using Wavelet Transform and Neural Network Based on Pulse Position Modulation Intended for Optical Wireless Channel Characterization." In Mobile Radio Communications and 5G Networks, 629–38. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-7130-5_49.

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de Adana, Francisco Saez. "Propagation Models for the Characterization of the Indoor UWB Channel." In Ultra Wideband Communications: Novel Trends - Antennas and Propagation. InTech, 2011. http://dx.doi.org/10.5772/20171.

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El, Ghas, Gheorghe Zaharia, Lahatra Rakotondrainibe, and Yvan Kokar. "Indoor Channel Characterization and Performance Analysis of a 60 GHz near Gigabit System for WPAN Applications." In Advanced Trends in Wireless Communications. InTech, 2011. http://dx.doi.org/10.5772/15021.

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Moataz, R., T. Saito, and D. Dulon. "Evidence for Voltage Sensitive Ca2+ Channels in Supporting Cells of the Organ of Corti: Characterization by Indo-1 Fluorescence." In Auditory Physiology and Perception, 53–59. Elsevier, 1992. http://dx.doi.org/10.1016/b978-0-08-041847-6.50012-5.

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Conference papers on the topic "Indoor Channel Characterization"

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Shihe Long, Mohammad-Ali Khalighi, Mike Wolf, Salah Bourennane, and Zabih Ghassemlooy. "Channel characterization for indoor visible light communications." In 2014 3rd International Workshop in Optical Wireless Communications (IWOW). IEEE, 2014. http://dx.doi.org/10.1109/iwow.2014.6950780.

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Dicandia, Francesco Alessio, Simone Genovesi, Alessandro Corucci, Pierpaolo Usai, Filippo Costa, Agostino Monorchio, Paolo Nepa, and Giuliano Manara. "Indoor channel characterization for future 5G applications." In 2016 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting. IEEE, 2016. http://dx.doi.org/10.1109/aps.2016.7696426.

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Bamba, Aliou, Francesco Mani, and Raffaele D'Errico. "E-band millimeter wave indoor channel characterization." In 2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC). IEEE, 2016. http://dx.doi.org/10.1109/pimrc.2016.7794729.

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Skiljo, M., Z. Blazevic, and D. Poljak. "Indoor Channel Characterization for GPR Electromagnetic Compatibility." In 2019 International Conference on Software, Telecommunications and Computer Networks (SoftCOM). IEEE, 2019. http://dx.doi.org/10.23919/softcom.2019.8903675.

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Quitin, Francois, Claude Oestges, Francois Horlin, and Philippe De Doncker. "Clustered channel characterization for indoor polarized MIMO systems." In 2009 IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC 2009). IEEE, 2009. http://dx.doi.org/10.1109/pimrc.2009.5450268.

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Zhang, Jiliang, Yang Wang, Liqin Ding, Xiaoli Chu, and Jie Zhang. "Indoor Multiple-User MIMO Channel Measurement and Characterization." In 2018 IEEE 23rd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD). IEEE, 2018. http://dx.doi.org/10.1109/camad.2018.8514994.

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Yang, Wang, Chen Peipei, Zhi Xinwei, Zhang Qinyu, and Zhang Naitong. "Characterization of Indoor Ultra-wide Band NLOS channel." In 2006 IEEE Annual Wireless and Microwave Technology Conference. IEEE, 2006. http://dx.doi.org/10.1109/wamicon.2006.351904.

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McDonnell, J. T. E. "5 GHz indoor channel characterization: measurements and models." In IEE Colloquium on Antennas and Propagation for Future Mobile Communications. IEE, 1998. http://dx.doi.org/10.1049/ic:19980139.

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D'Errico, Raffaele, and Laurent Ouvry. "Time-variant BAN channel characterization." In 2009 IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications - (PIMRC 2009). IEEE, 2009. http://dx.doi.org/10.1109/pimrc.2009.5449948.

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Dupleich, Diego, Franco Fuschini, Robert Mueller, Enrico Vitucci, Christian Schneider, Vittorio Degli Esposti, and Reiner Thoma. "Directional characterization of the 60 GHz indoor-office channel." In 2014 XXXIth URSI General Assembly and Scientific Symposium (URSI GASS). IEEE, 2014. http://dx.doi.org/10.1109/ursigass.2014.6929648.

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