Markovian Block Sparse Signal Detection Using One Bit Measurements
Signal Processing
2024-03-19 v1
Abstract
This paper presents a novel sparse signal detection scheme designed for a correlated Markovian Bernoulli-Gaussian sparse signal model, which can equivalently be viewed as a block sparse signal model. Despite the inherent complexity of the model, our approach yields a closed-form detection criterion. Theoretical analyses of the proposed detector are provided, including the computation of false alarm probability and detection probability through closed-form formulas. Simulation results compellingly demonstrate the advantages of our proposed detector compared to an existing detector in the literature.
Cite
@article{arxiv.2403.11072,
title = {Markovian Block Sparse Signal Detection Using One Bit Measurements},
author = {Alireza Hariri and Hadi Zayyani and Mehdi Korki},
journal= {arXiv preprint arXiv:2403.11072},
year = {2024}
}