@inproceedings{67570ea034794c2f8c3a1cef495a9497,
title = "Robust Activity Detection for Massive Access using Covariance-based Matching Pursuit",
abstract = "We propose a robust activity detection for grant free random access using greedy covariance-learning-based matching pursuit (RCL-MP) algorithm. The method incorporates a robust loss function into the Gaussian negative log-likelihood function, and uses matching pursuit framework for greedily selecting the indices of active users. This algorithm employs a flexible loss function effectively recovering sparse support under non-Gaussian noise conditions. Furthermore, we numerically demonstrate the robustness of RCL-MP across various conditions in massive access scenarios.",
keywords = "Accuracy, Acoustics, Matching pursuit algorithms, Noise, Performance evaluation, Robustness, Signal processing algorithms, Speech processing",
author = "Xinjue Wang and Esa Ollila and Vorobyov, \{Sergiy A.\}",
year = "2025",
doi = "10.1109/ICASSP49660.2025.10889433",
language = "English",
isbn = "979-8-3503-6875-8",
series = "Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing",
publisher = "IEEE",
pages = "1--5",
booktitle = "ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)",
address = "United States",
note = "IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP ; Conference date: 06-04-2025 Through 11-04-2025",
}