5 papers
Dictionary-Based Contrastive Learning for GNSS Jamming Detection
Zawar Hussain, Arslan Majal, Aamir Hussain Chughtai +1
Global Navigation Satellite System (GNSS) signals are fundamental in applications across navigation, transportation, and industrial networks. However, their extremely low received…
EMORF-II: Adaptive EM-based Outlier-Robust Filtering with Correlated Measurement Noise
Arslan Majal, Aamir Hussain Chughtai, Muhammad Tahir
We present a learning-based outlier-robust filter for a general setup where the measurement noise can be correlated. Since it is an enhanced version of EM-based outlier robust filt…
Robust Filtering -- Novel Statistical Learning and Inference Algorithms with Applications
Aamir Hussain Chughtai
State estimation or filtering serves as a fundamental task to enable intelligent decision-making in applications such as autonomous vehicles, robotics, healthcare monitoring, smart…
Trajectory Reconstruction through a Gaussian Adaptive Selective Outlier Rejecting Smoother
Arslan Majal, Aamir Hussain Chughtai
Trajectory Reconstruction (TR) is vital for accurately mapping movement patterns and validating analyses, especially in fields like robotics, biomechanics, and environmental tracki…
EMORF/S: EM-Based Outlier-Robust Filtering and Smoothing With Correlated Measurement Noise
Aamir Hussain Chughtai, Muhammad Tahir, Momin Uppal
In this article, we consider the problem of outlier-robust state estimation where the measurement noise can be correlated. Outliers in data arise due to many reasons like sensor ma…