Markovian Block Sparse Signal Detection Using One Bit Measurements

2024/03/17 by Alireza Hariri, Hariri, Alireza, Hadi Zayyani +3
Computer Science · Engineering · #Analog and Mixed-Signal Circuit Design #Blind Source Separation Techniques #FOS: Electrical engineering #Integrated Circuits and Semiconductor Failure Analysis #Signal Processing (eess.SP) #electronic engineering #information engineering

paper · pdf · doi:10.48550/arxiv.2403.11072

openalex publication_date 2024/03/17 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

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.

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