15 Sep 2023
<p>PhD student, Sergio, presented our research on GNSS DPE at ION GNSS+ 2023. We experimentally evaluate DPE’s performance and show its model mismatch problem!
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28 April 2023
<p>We extended our work on GPS spoofing detection, which was presented at ION ITM 2023. The extended version has been accepted by the journal Measurement. Will be online soon!
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14 April 2023
<p>Our abstract, titled “Experimental Investigation of GNSS Direct Position Estimation in Densely Urban Area”, has been accepted by ION GNSS+ 2023, which is to take place at Denver, CO, on September 11-15, 2023. PhD student, Sergio will be presenting this work in person.
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8 Dec 2022
<p>I am now looking for a full-time postdoc in advanced GNSS signal processing with applications to multipath mitigation, spoofing detection, etc. If you’re interested, please send me your CV and supporting materials for discussion.
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28 Nov 2022
<p>Our abstract, titled “Machine Learning Assisted Multipath Signal Parameter Estimation and its Evaluation Under Weak Signal Environment”, has been accepted for 2023 IEEE/ION Position Location and Navigation Symposium, which is to take place at Monterey, California, on April 24-27, 2023. PhD student, Ms Xin Qi will be presenting this work in person.
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28 October 2022
<p>Our abstract, titled “A Graphical Way of Continuous GNSS Spoofing Detection at the Baseband Signal Level”, has been accepted for the ION ITM 2023 conference, taking place January 23-26, 2023 in Long Beach, California. MPhil student, Ms Jingxiaotao Fang, will be presenting this work in person.
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26 September 2022
<p>Our paper, entitled “Hyperparameter Optimization of Neural Networks Based on Q-learning” is accepted for publication in Signal, Image and Video Processing. In this paper, the learning agent searches for the optimal hyperparameter configuration by continuously updating the Q-table to optimize hyperparameter tuning strategy.
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9 September 2022
<p>A co-authored paper entitled “A Robust Nonlinear Filter Strategy Based on Maximum Corren-tropy Criterion for Multi-GNSS and Dual-Frequency RTK” is accepted for publication in Remote Sensing. The proposed method excavates data features of higher-order moments to enhance the robust-ness against noise.
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4 September 2022
<p>Special Issue, “Special Issue “Advanced Technologies for Position and Navigation under GNSS Signal Challenging or Denied Environments II” is now open for submission in Remote Sensing. This is a follow-up volume.
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3 August 2022
<p>A co-authored paper entitled “FPS-Fast Path Planner Algorithm Based on Sparse Visibility Graph and Bidirectional Breadth-First Search” is published online in Remote Sensing. This work proposed a path planner based on the visibility graph (v-graph) for the mobile robot that uses sparse methods to speed up and simplify the construction of the v-graph. See https://www.mdpi.com/2072-4292/14/15/3720.
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31 May 2022
<p>Our paper entitled “Data Denoising Based on Hadamard Matrix Transformation and Rayleigh Quotient Maximization, Application to GNSS Signal Classification” is accepted for publication in IEEE Transactions on Instrumentation & Measurement! This paper presents a new data denoising theory to boost classification performance based on concepts of Hadamard matrix transformation and Rayleigh quotient maximization.
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11 April 2022
<p>Our paper entitled “GNSS Code Multipath Time-frequency Analysis Using Wavelet-based Synchrosqueezing Transform in Urban Environments” is accepted for publication in IEEE Geoscience and Remote Sensing Letters! We use wavelet-based synchrosqueezing transform (WSST) to perform time-frequency analysis for GNSS code multipath detection.
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8 Feb 2022
<p>A paper on vector tracking is accepted by IEEE Internet of Things Journal!
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14 Jan 2022
<p>Three papers are accepted by International Conference on Smart Living 2022! All papers are fully done by undergraduate students. Looking forward to their oral presentations soon!
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10 Jan 2022
<p>Our paper, Carrier-Aided Dual Frequency Vectorized Tracking Architecture for NavIC Signals, is accepted by IEEE Transactions on Instrumentation & Measurement! Online soon!
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