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CNN‐based received signal strength prediction: A frequency conversion scheme
Electronics Letters, 2023 To support the design and deployment of emerging high‐frequency wireless systems in various applications such as intelligent transportation, advanced received signal strength (RSS) simulation tools for radio coverage prediction are needed.
Siyi Huang, Xingqi Zhang
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Movement Detection Using A Reciprocal Received Signal Strength Model
ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021 Received signal strength measurements of commodity radios can be utilized for sensing the surrounding environment. This work harnesses the signal strength measurements for estimating time periods when a person is stationary and moving. A novel reciprocal signal strength model is presented, and an energy detector is developed.
Yigitler, Hüseyin, Kaltiokallio, Ossi
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Indoor localization using received signal strength
2013 8th IEEE Design and Test Symposium, 2013 A comparison between two indoor localization algorithms using received signal strength is carried out. The first algorithm is the vector algorithm; the second is the matrix algorithm. The comparison considered the effects of the reference points, the access point, and the frequency on the accuracy of the localization process.
Obeidat, Huthaifa A.N. +6 more
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Guangtongxin yanjiu, 2022 This paper proposes a novel Non-linear Camera Assisted-Received Signal Strength (nCA-RSS) algorithm. The basic idea of nCA-RSS is to simultaneously utilize camera and Photo-Diode (PD) to capture visual information and signal strength information to ...
Song-lin JIA +3 more
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Robust Differential Received Signal Strength-Based Localization [PDF]
IEEE Transactions on Signal Processing, 2017 Source localization based on signal strength measurements has become very popular due to its practical simplicity. However, the severe nonlinearity and non-convexity make the related optimization problem mathematically difficult to solve, especially when the transmit power or the path-loss exponent (PLE) is unknown.
Hu, Yongchang, Leus, Geert
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Localization of Partial Discharge by Using Received Signal Strength [PDF]
2018 2nd URSI Atlantic Radio Science Meeting (AT-RASC), 2018 The term partial discharge (PD) refers to a partial breakdown in an insulator which bridges two conductors. PD occurs due to insulation defects which arise as a result of high voltage stresses or insulation cracks. Continuous monitoring of PD activity can have a significant impact towards mitigating catastrophic failures. In recent times, it has become
Khan, U +10 more
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Bayesian Active Learning for Received Signal Strength-Based Visible Light Positioning
IEEE Photonics Journal, 2022 Visible Light Positioning (VLP) is a promising indoor localization technology for providing highly accurate positioning. In this work, a VLP implementation is employed to estimate the position of a vehicle in a room using the Received Signal Strength ...
Federico Garbuglia +5 more
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Forecast-Driven Enhancement of Received Signal Strength (RSS)-Based Localization Systems
ISPRS International Journal of Geo-Information, 2013 Real-time user localization in indoor environments is an important issue in ambient assisted living (AAL). In this context, localization based on received signal strength (RSS) has received considerable interest in the recent literature, due to its low ...
Claudio Gallicchio +3 more
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A method of pedestrian flow monitoring based on received signal strength
EURASIP Journal on Wireless Communications and Networking, 2022 There is a wide demand for people counting and pedestrian flow monitoring in large public places such as scenic tourist areas, shopping malls, stations, squares, and so on.
Zhiyong Yang, Jing Wen, Kaide Huang
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A Generic Method for the Reliable Calculation of Large- Scale Fading in an Obstacle-Dense Propagation Environment [PDF]
, 2013 The aim of this chapter is to summarize and present recent findings in the field of wireless channel mod- eling that provide a new method for the reliable calculation of the statistical parameters of large-scale variations of the average received ...
Babulak, E. +2 more
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