RADAR: an in-building RF-based user location and tracking system

By Paramvir Victor Bahl, V. Padmanabhan. Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064), 2000

9,105 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Transportation

View Paper: https://www.semanticscholar.org/paper/bb01353f818ca226b53433163893efc56c3df32d

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Citations in the corpus

A reliable and accurate indoor localization method using phone inertial sensors (2012, methodology): “Instead, it builds a RSSI ﬁn-gerprint map and looks up the associated location by matching the signature with the ﬁngerprint map [2, 27].”
No need to war-drive: unsupervised indoor localization (2012, methodology): “RADAR [1] also operates on WiFi .ngerprinting, and is capable of achieving up to 5m accuracy in indoor settings.”
Location sensing and privacy in a context-aware computing environment (2002, methodology): “We evaluate the characteristics of this approach with our previous algorithm, CMU Pattern Matching (CMU-PM), as well as Victor Bahl's RADAR system [1][2].”
A Theory of Network Localization (2006, neutral): “Network localization is an active research £eld, e.g., [1], [ 5 ], [10]–[12], [17], [20], [25], [26], [30],”
Angle of Arrival Localization for Wireless Sensor Networks (2006, methodology): “In [1]–[3], the RSS, which is the easiest to obtain for the current sensors, is utilized.”
The cricket compass for context-aware mobile applications (2001, background): “A signi cant amount of previous work has focused on providing device position capabilit y indoors, including the Active Badge [26], Bat [14], RADAR [5], and Cricket [20] systems.”
Accuracy characterization for metropolitan-scale Wi-Fi localization (2005, methodology): “To this end, a number of research projects and commercial systems have explored mechanisms based on ultrasonic, infrared and radio transmissions [24, 29, 2, 5].”
Location Systems for Ubiquitous Computing (2001, methodology): “A Microsoft Research group has developed RADAR, a building-wide tracking system based on the IEEE 802.11 WaveLAN wireless networking technology [3].”
A Survey on Wireless Indoor Localization from the Device Perspective (2016, background): “Unfortunately, the presence of obstacles in the surrounding area may block the ultrasonic wave due to its coverage limitations, leading to a decrease in the wave traveling time measurement accuracy, along with high power consumption.”
The Horus location determination system (2008, methodology): “The RADAR system [ 10 ] uses the RF signal strength as an indication of the distance between the transmitter and receiver.”
The Cricket indoor location system (2005, methodology): “1 In-building RADAR The RADAR system developed at Microsoft Research implements a location service utilizing the information obtained from an already existing RF data network [6].”
The limits of localization using signal strength: a comparative study (2004, methodology): “Averaged RADAR R2 Returns the midpoint of the closest 2 training points in signal space.”
Modern WLAN Fingerprinting Indoor Positioning Methods and Deployment Challenges (2016, methodology): “ad categories: model-based (path loss) and model-free (radio map) approaches. The model based approaches use the collected RSS ﬁngerprints to train the parameters for the predeﬁned propagation models [14], [33], [51], [52]. These techniques assume a prior path loss model for the indoor propagation w”
GEM: Graph EMbedding for routing and data-centric storage in sensor networks without geographic information (2003, methodology): “Some previously proposed range finding techniques are by observing radio signal attenuation[3], or by measuring the arrival time difference”
TPS: a time-based positioning scheme for outdoor wireless sensor networks (2004, background): “Examples include Active Badge [36], Active Bat [10], RADAR [ 2 ], Cricket [27], SpotON [13], to name a few.”
Trajectory based forwarding and its applications (2003, methodology): “3 Alternatives to positioning Trajectory based forwarding is simpler when all node positions are known relative to a reference coordinate system by use of a global capability such as GPS, or running a self positioning algorithm such as [8, 9, 33, 34].”
Geographic location tags on digital images (2003, background): “BROWSING IMAGE MEDIA Graphical interfaces for browsing databases are commonplace, and a considerable body of work has focused on browsing photos and videos [1] [2][14][24][26][27].”