Angle of Arrival Localization for Wireless Sensor Networks

By Rong Peng, Mihail L. Sichitiu. 2006 3rd Annual IEEE Communications Society on Sensor and Ad Hoc Communications and Networks, 2006

707 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Electrical and Electronic Engineering, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/2420616018134ce70d778b3264e66659529f9727

How researchers see this paper

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

In Aerospace Engineering

1. Dominic K. C. Ho
2. Chau Yuen
3. Yue Wang
4. Francisco Falcone

In Electrical and Electronic Engineering

1. Yue Wang
2. U-Xuan Tan
3. Xing Chen
4. Dominic K. C. Ho
5. Chau Yuen
6. Tri-Nhut Do
7. Nikolaos Gatsis
8. David Akopian

In Ocean Engineering

1. Dominic K. C. Ho
2. Chau Yuen
3. Nikolaos Gatsis
4. David Akopian
5. Yue Wang
6. Ali Khalajmehrabadi

Citations in the corpus

• An Asymptotically Efficient Estimator in Closed-Form for 3-D AOA Localization Using a Sensor Network (2015, methodology): “We often rely on self-localization or GPS to acquire the sensor positions [28] and the accuracy cannot be perfect.”
• Cooperative relative positioning of mobile users by fusing IMU inertial and UWB ranging information (2017, background): “The user measures the received signal strength (RSS) [1], time of arrival (ToA) [2], or angle of arrival (AoA) [3] to anchors and infers its position in the environment.”
• The internet of things in healthcare: An overview (2016, background): “A comprehensive discussion on LPSs can be found in the literature [41] .”
• Modern WLAN Fingerprinting Indoor Positioning Methods and Deployment Challenges (2016, background): “ion AOA DOA TOA TDOA Fingerprinting Model-basedModel-free Fig. 2. WLAN localization schemes. intersection of the two virtual lines heading in the direction of the angles defines the user position [43]–[45]. TOA techniques use the travel time that a wave takes from the transmitter to the receiver and ”
• A Review of IoT Sensing Applications and Challenges Using RFID and Wireless Sensor Networks (2020, methodology): “Among the first category techniques, RSSI with Extended Kalman Filter (EKF) [44], the Angle of Arrival (AoA) [45] and the Time of arrival (ToA) [46] are some of the most relevant ones.”