A
Ali Abdallah
Publications - 12
Citations - 70
Ali Abdallah is an academic researcher. The author has contributed to research in topics: Computer science & Inertial navigation system. The author has an hindex of 1, co-authored 1 publications receiving 3 citations.
Papers
More filters
I Am Not Afraid of the GPS Jammer: Resilient Navigation Via Signals of Opportunity in GPS-Denied Environments
TL;DR: In this paper , a radio simultaneous localization and mapping (radio SLAM) approach is proposed to estimate the states of the navigator-mounted receiver simultaneously with the ambient signals of opportunity (SOPs) states.
Journal ArticleDOI
PINDOC: Pedestrian Indoor Navigation System Integrating Deterministic, Opportunistic, and Cooperative Functionalities
Chi-Shih Jao,Ali Abdallah,Changwei Chen,Min-Won Seo,Solmaz S. Kia,Zaher M. Kassas,Andrei M. Shkel +6 more
TL;DR: A Pedestrian Indoor Navigation system integrating Deterministic, Opportunistic, and Cooperative functionalities (PINDOC) for multi-agent navigation shows high accuracy, achieving a position Root-Mean-Squared Error (RMSE), maximum error, and final error of 0.28m.
Proceedings ArticleDOI
Opportunistic Navigation Using Sub-6 GHz 5G Downlink Signals: A Case Study on A Ground Vehicle
Ali Abdallah,Zaher M. Kassas +1 more
TL;DR: A so-called ultimate synchronization signal (USS) is proposed to utilize the time-domain orthogonality of the orthogonal frequency division multiplexing (OFDM)-based 5G signals to simplify the receiver's complexity and enhances the performance of the 5G opportunistic navigation framework.
Assessment of Cellular Signals of Opportunity for High-Altitude Aircraft Navigation
Zaher M. Kassas,Joe Khalife,Ali Abdallah,Chiawei Lee,Juan D. Jurado,Steven T. Wachtel,Jacob Duede,Zachary W. Hoeffner,Thomas Aaron Hulsey,Rachel Quirarte,RunXuan Tay +10 more
TL;DR: In this article , an extensive campaign was conducted by the Autonomous Systems Perception, Intelligence, and Navigation Laboratory (ASPIN) in collaboration with the U.S. Air Force (USAF) to sample ambient cellular signals of opportunity (SOPs) at different altitudes in different regions in Southern California, USA.
Journal ArticleDOI
Sub-Meter Accurate Pedestrian Indoor Navigation System with Dual ZUPT-Aided INS, Machine Learning-Aided LTE, and UWB Signals
Chi-Shih Jao,Ali Abdallah,Changwei Chen,Min-Won Seo,Solmaz S. Kia,Zaher M. Kassas,Andrei M. Shkel +6 more
TL;DR: The PINDOC system achieved a position Root-Mean-Squared Error (RMSE), maximum error, and loop-closure error of 0.93 m, 2.23 m, and 1.28 m over the 600-meter trajectory, respectively.