Results 141 to 150 of about 5,280,561 (174)

Leveraging Hybrid RF-VLP for High-Accuracy Indoor Localization with Sparse Anchors. [PDF]

Sensors (Basel)
Lu B, Li Y, Sun Y, Yang Y.
europepmc   +1 more source

A Two-Step SD/SOCP-GTRS Method for Improved RSS-Based Localization in Wireless Sensor Networks. [PDF]

Sensors (Basel)
Chang S, Li L.
europepmc   +1 more source

A Simple and Efficient Method for RSS-AOA-Based Localization with Heterogeneous Anchor Nodes. [PDF]

Sensors (Basel)
Ding W, Li L, Chang S.
europepmc   +1 more source

High-Precision Indoor VLP Scheme Based on the Synergy of SMO Multipath Suppression and Intelligent Algorithms. [PDF]

Sensors (Basel)
Yang Y, Zhang J, Liu S.
europepmc   +1 more source

Secure localization of land vehicles under GPS spoofing attack with decomposition Kalman filter. [PDF]

Sci Rep
Zhao M, Han Z, Wang E, Liu J.
europepmc   +1 more source

Using Received-Signal-Strength (RSS) Pre-Processing and Convolutional Neural Network (CNN) to Enhance Position Accuracy in Visible Light Positioning (VLP) [PDF]

Optical Fiber Communication Conference (OFC) 2022, 2022
We propose and demonstrate a received-signal-strength (RSS) pre-processing scheme to mitigate light-deficient-region occurred in visible-light-positioning (VLP) and convolutional-neural-network (CNN) to enhance VLP performance. The RSS pre-processing and CNN model are discussed.
Li-Sheng Hsu, Deng-Cheng Tsai, Hei Man Chen, Yun-Han Chang, Yang Liu 0194, Chi-Wai Chow, Shao-Hua Song, Chien-Hung Yeh   +7 more
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Relationship between the maximum likelihood emitter location estimators based on received signal strength (RSS) and received signal strength difference (RSSD)

2012 26th Biennial Symposium on Communications (QBSC), 2012
Under the assumption of a log-normal path loss model, maximum likelihood (ML) emitter location estimators are derived for both received signal strength (RSS) and received signal strength difference (RSSD) information. It is then shown that these ML estimators are identical, contrary to the seemingly common perception that the RSS-based ML location ...
Sichun Wang, Robert Inkol
exaly   +2 more sources

A comparative view on received signal strength (RSS) based location estimation in WSN

2015 IEEE International Conference on Engineering and Technology (ICETECH), 2015
Location estimation is a very useful concept in the real world. The assessment of the localization system is based on the wireless technology used, positioning algorithm, complexity, scalability, accuracy, power consumption, size and cost. GPS based localization are inconvenient due to cost and poor signal coverage area.
Swagatika Bohidar, Sasmita Behera, Chitta Ranjan Tripathy   +2 more
exaly   +2 more sources

On the CRLB scaling law for Received Signal Strength (RSS) geolocation

2011 45th Annual Conference on Information Sciences and Systems, 2011
Cramer-Rao bounds for geolocation based on Received Signal Strength (RSS) have previously been studied under a Log Normal (LN) fading model. We compare this with a new bound under purely Gaussian (G) conditions, and find that location error is dramatically reduced.
exaly   +3 more sources

Received signal strength (RSS) based animal localization and movement modeling [PDF]

, 2022
We propose received signal strength (RSS) based models for locating animals and tracking their movement. The magnitudes of the RSS measured by antennae in a wireless sensor network are functions of the distance and angle between the signal source and each antenna.
Han, Gang
openaire   +3 more sources