Enhancements to the RADAR User Location and Tracking System

By V. Bahl, V. Padmanabhan. 2000

602 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/bbe9a39979b3ff5334d2a2491080f907440fdeae

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Citations in the corpus

Survey of Wireless Indoor Positioning Techniques and Systems (2007, methodology): “In their following work [36], RADAR was enhanced by a Viterbi-like algorithm.”
The Horus WLAN location determination system (2005, background): “It is currently implemented in the context of 802.11 wireless LANs [25].”
Nuzzer: A Large-Scale Device-Free Passive Localization System for Wireless Environments (2009, background): “Each element in this space is aq-dimensional vector whose entries represent the signal strength readings from different streams, where each stream represents an (access point, monitoring point) pair.”
Zero-Configuration, Robust Indoor Localization: Theory and Experimentation (2006, methodology): “11 APs), and then apply the triangulation method to derive the client location [12], [20], [21].”
ToneTrack: Leveraging Frequency-Agile Radios for Time-Based Indoor Wireless Localization (2015, background): “Early work also targeted building a database of RSSI signatures at nearby APs, as RADAR [2, 3], Horus [65], and WiGEM [13] do.”
Push the limit of WiFi based localization for smartphones (2012, methodology): “Our investigation on these large errors reveals the insight that they are caused by possibly faraway locations with similar WiFi signatures, an intrinsic phenomenon of the radio signal propagation and fundamental limit of WiFi methods.”
LANDMARC: Indoor Location Sensing Using Active RFID (2003, unknown): “97m [9].”
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].”
Adaptive Temporal Radio Maps for Indoor Location Estimation (2005, background): “In this section, we describe our experimental setup and the noisy characteristics of wireless channel which makes the problem of location determination a challenging task.”
Transferring Localization Models across Space (2008, unknown): “These methods are poor in handling the uncertainty (Bahl, Balachandran , and Padmanabhan 2000).”
Indoor Tracking: Theory, Methods, and Technologies (2015, methodology): “For instance, in [58], a Viterbi-like algorithm was proposed to perform continuous tracking of the user’s position from ﬁngerprinting solutions.”
Robotics-Based Location Sensing Using Wireless Ethernet (2002, methodology): “The authors of RADAR established a correlation between orientation and measured signal strength [3, 2].”