Challenges in Channel Measurement and Modeling for RF Localization Inside the Human Body

In this invited paper, the authors introduce an overview of the fundamentals of radio frequency (RF) channel measurement and modeling techniques needed for localization inside the human body. To address these fundamentals, the authors use capsule endoscopy as an example application. The authors first provide the results of the Cramer Rao Lower Bound (CRLB) for received signal strength (RSS) based endoscopy capsule localization, inside the human body, using existing path-loss models for radio propagation. Then challenges demanding further research are highlighted for attaining more precise localization using the time-of-arrival (TOA) based ranging techniques.

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Precise and accurate wireless signal strength mappings using Gaussian processes and path loss models

Robotics and Autonomous Systems ◽

10.1016/j.robot.2018.02.011 ◽

2018 ◽

Vol 103 ◽

pp. 134-150 ◽

Cited By ~ 6

Author(s):

Renato Miyagusuku ◽

Atsushi Yamashita ◽

Hajime Asama

Keyword(s):

Gaussian Processes ◽

Path Loss ◽

Signal Strength ◽

Wireless Signal ◽

Loss Models ◽

Wireless Signal Strength

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Radio propagation path loss models for 5G cellular networks in the 28 GHZ and 38 GHZ millimeter-wave bands

IEEE Communications Magazine ◽

10.1109/mcom.2014.6894456 ◽

2014 ◽

Vol 52 (9) ◽

pp. 78-86 ◽

Cited By ~ 256

Author(s):

Ahmed Iyanda Sulyman ◽

Almuthanna T. Nassar ◽

Mathew K. Samimi ◽

George R. Maccartney ◽

Theodore S. Rappaport ◽

...

Keyword(s):

Cellular Networks ◽

Millimeter Wave ◽

Path Loss ◽

Radio Propagation ◽

Propagation Path ◽

Loss Models

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Directional Radio Propagation Path Loss Models for Millimeter-Wave Wireless Networks in the 28-, 60-, and 73-GHz Bands

IEEE Transactions on Wireless Communications ◽

10.1109/twc.2016.2594067 ◽

2016 ◽

Vol 15 (10) ◽

pp. 6939-6947 ◽

Cited By ~ 69

Author(s):

Ahmed Iyanda Sulyman ◽

Abdulmalik Alwarafy ◽

George R. MacCartney ◽

Theodore S. Rappaport ◽

Abdulhameed Alsanie

Keyword(s):

Wireless Networks ◽

Millimeter Wave ◽

Path Loss ◽

Radio Propagation ◽

Propagation Path ◽

Loss Models

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RADIO PROPAGATION CHARACTERISTICS OF INDOOR LOCATION SYSTEM BASED ON RSSI AT 490 MHz

Journal of Circuits System and Computers ◽

10.1142/s0218126614500947 ◽

2014 ◽

Vol 23 (07) ◽

pp. 1450094 ◽

Cited By ~ 1

Author(s):

WEIHONG FAN ◽

MAJID AHMADI ◽

FENG XUE

Keyword(s):

Indoor Environment ◽

Path Loss ◽

Signal Strength ◽

Received Signal Strength ◽

Propagation Characteristic ◽

Radio Propagation ◽

Test Results ◽

Received Signal Strength Indicator ◽

Indoor Location ◽

Localization And Tracking

Localization and tracking technology based on received signal strength indicator (RSSI) is one of the most popular topics because of its low demand on hardware and cost. But the complexity of the indoor environment, leads to the uncertainty of the radio propagation which can seriously affect the positioning accuracy based on the received signal strength. Focused on the wall reflection in the indoor environment, the radio propagation characteristic based on ray-tracing model is analyzed and one strategy for the near wall localization is presented. The actual hardware platform and experimental test results show the applicability of the empirical logarithmic path loss model for localization and the effect of the wall reflection.

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Survey of Radio Propagation Models for Acoustic Applications in Underwater Wireless Sensor Network

International Journal of Sensors Wireless Communications and Control ◽

10.2174/2210327909666191127093403 ◽

2019 ◽

Vol 09 ◽

Author(s):

Preeti Saini ◽

Rishi Pal Singh ◽

Adwitiya Sinha

Keyword(s):

Acoustic Waves ◽

Path Loss ◽

Signal Strength ◽

Propagation Model ◽

Propagation Loss ◽

Radio Propagation ◽

Propagation Models ◽

Loss Model ◽

Path Loss Model ◽

Radio Propagation Model

Background: Acoustic waves have a large range of applications in UWSNs from underwater monitoring to disaster management, military surveillance to assisted navigation. Acoustic waves are primarily used for wireless communication in water. But radio waves are more suitable than acoustic waves for many underwater applications (e.g. real-time applications, shallow water applications). Objectives: A propagation model is required to effectively design a radio wave based UWSN. Propagation model predicts the average received signal strength at a given distance from the transmitter and the variability of the signal strength in close spatial proximity to a particular location. Various radio propagation models are developed for air. Methods: The performance of RF-EM waves underwater is not the same as that in the air. Many parameters which have real-value in the air becomes complex valued in seawater. Thus, propagation models for air cannot be directly used to calculate propagation loss underwater. Various radio propagation models are developed for water by Al-Shamaa’a et al., Uribe and Grote, Jiang et al., Elrashidi et al., Hattab et al. Each model has some merits and demerits. Path loss model developed by Al-Shamma’a et al. is a simple model based on attenuation only. Results: Uribe and Grote have introduced distance-dependent attenuation coefficient in path loss calculation. Path loss model by Jiang et al. calculates path loss for freshwater. Model by Hattab et al. is specifically designed for UWSN. According to the authors, it is the first path loss model developed for UWSN. Elrashidi et al. have calculated path loss for freshwater and seawater at 2.4 GHz. The model includes the effect of the reflected signals on the received signal by the receiver node. Conclusion: The paper presents a comparative analysis of these various radio propagation models developed for underwater. Among these models, the radio propagation model by Hattab et al. is more realistic and covers both propagation loss and interface loss. According to the authors, it is the first radio propagation model developed for UWSNs.

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