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Distributed target localization using quantized received signal strength
Signal Processing, 2017In this paper, we propose a distributed gradient algorithm for received signal strength based target localization using only quantized data. The Maximum Likelihood of the Quantized RSS is derived and Particle Swarm Optimization is used to provide an initial estimate for the gradient algorithm.
Zeyuan Li +2 more
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A received signal strength indication-based localization system
21st Mediterranean Conference on Control and Automation, 2013Localization using the received signal strength indication (RSSI) of wireless local area networks with a priori knowledge of the coordinates of the routers/access points is addressed in this paper. The proposed algorithm employs a path loss model that allows for the inclusion of the logarithmic measurements of the signal strength directly in the state ...
Pedro Lourenco +4 more
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Location based services using received Signal Strength algorithms
2015 Internet Technologies and Applications (ITA), 2015A comparison is carried out among indoor localization algorithms using received signal strength, namely the vector algorithm, and the Modified Comparative Received Signal Strength (MCRSS) algorithm. The study considered comparisons on the performance of the proposed algorithms.
H. A. Obeidat +7 more
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Robust Indoor Positioning Based on Received Signal Strength
2007 2nd International Conference on Pervasive Computing and Applications, 2007A positioning algorithm based on the relative order of the received signal strengths is discussed. This algorithm in conjunction with the ray-tracing propagation model can have promising performance for indoor environments without any needs for extensive set of a priori training.
Kamran Sayrafian-Pour, Julio Perez
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Three dimensional location detection using received signal strength
2013 International Conference on Signal Processing , Image Processing & Pattern Recognition, 2013In this paper an algorithm has been proposed based on Hata model that employs an improved procedure in detecting the mobile location in three dimensional environment using received signal strength (RSS). This technique considers path loss and shadowing effect for the channel to compute the distance between the mobile phone and its home base station and
P. Das, A. Das
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A Low Power Received Signal Strength Indicator for Short Distance Receiver
2013A low power received signal strength indicator (RSSI) with limiter amplifier (LA) and an integrated automatic gain control (AGC) loop are fabricated in SMIC 0.13 μm technology for short distance receiver. The proposed limiter achieves minimum power dissipation which uses six-stage amplifier architecture.
Qianqian Lei +3 more
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Received signal strength based localization in sensor network
2010 IEEE 18th Signal Processing and Communications Applications Conference, 2010In this paper, we present the accuracy of location engine of CC2431 ZDK development kit which is widely used in sensor network localization problems. Initially, distance vs received signal strength indicator graph has been established, then accuracy of location engine and Cayley-Menger based localization algorithm have been compared.
Kazim Firat Taraktas +2 more
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Collision detection using received signal strength in FANETs
2014 International Conference on Unmanned Aircraft Systems (ICUAS), 2014Autonomous vehicles are important to execute missions without the need to put at risk people's life. To achieve this goal, it is essential that these vehicles are endowed of a collision avoidance system. In this study we discuss the use of received signal strength (RSS) of beacons from a vehicular ad hoc network (VANET) as a way to detect dangerous ...
Rodolfo Barros Chiaramonte +1 more
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Receive Signal Strength- Based Human Activity Recognition
2021 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (APS/URSI), 2021Wassila Dib +4 more
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Rfid Indoor Localization Based Received Signal Strength
2021 14th International Conference on Developments in eSystems Engineering (DeSE), 2021Hamsa M. Ahmed, Ahmed Noori Rashid
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