Ad hoc positioning system (APS) using AOA

By Dragos Stefan Niculescu, B. Nath. IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428), 2003

2,401 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/2cdd6e0dd343a94480adfeba247d3f33c429113a

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Citations in the corpus

Mobile-assisted localization in wireless sensor networks (2005, methodology): “It has since been used in several incremental localization algorithms [1], [20].”
Angle of Arrival Localization for Wireless Sensor Networks (2006, methodology): “The simulation results show that even with inaccurate AOA measurements and a small number of beacons, the proposed approach exhibits very good accuracy and precision for the estimation, and achieves much better localization coverage than the existing approach in [6].”
You are facing the Mona Lisa: spot localization using PHY layer information (2012, neutral): “Angle-of-arrival based techniques utilize multiple antennas to estimate the angle at which signals are received, and then employ geometric or signal phase relationships to calculate bearings to other devices with respect to the device’s own axis [29–31].”
Localization in Wireless Sensor Networks (2007, methodology): “Niculescu and Nath [21] proposed DV-Hop which is similar to Gradient, but uses a di.erent method for estimating the average distance per hop.”
Sensor positioning in wireless ad-hoc sensor networks using multidimensional scaling (2004, background): “Recently, Niculescu et al. use Angle of Arrival (AoA) to measure the positions of sensors [21].”
Localization algorithms of Wireless Sensor Networks: a survey (2011, methodology): “Range-based techniques have used Received Signal Strength (RSS) [10], Time of Arrival (TOA) [13], Time Difference of Arrival (TDoA) [9], or Angle of Arrival (AoA) [41].”
Fundamental Limits of Wideband Localization— Part I: A General Framework (2010, neutral): “Commonly used signal metrics include time-of-arrival (TOA) [8], [9], [17]–[20], [27]–[ 30], time-difference-of-arrival (TDOA) [31], [32], angle-ofarrival (AOA) [9], [33], and received signal strength (RSS) [9], [34 ], [35].”
GPS free coordinate assignment and routing in wireless sensor networks (2005, methodology): “The other nodes infer their positions, using techniques like time of arrival, time difference of arrival [16], [17], angle of arrival [18], [19], signal strength [20], [21], or hop distance [22].”
Location, Localization, and Localizability (2010, methodology): “A more detailed description of AoA-based triangulation techniques is provided in [33].”
Scalable Localization with Mobility Prediction for Underwater Sensor Networks (2008, background): “2.2 Related Work on Localization Localization for terrestrial sensor networks has been widely explored, and a significant number of schemes have been proposed [29], [30], [31], [32], [33], [34], [35], [36], [ 37 ], [38], [39], [40], [41], [42], [43], [44].”
The Cricket indoor location system (2005, methodology): “present an anchor-based, distributed algorithm that uses angle-ofarrival (AOA) for localization [67].”
Indoor localization without the pain (2010, background): “These scheme assume that the nodes can estimate the distance between each other, while other schemes use angle of arrival information [21].”