Joint Block Support Recovery for Sub-Nyquist Sampling Cooperative Spectrum Sensing
Author:
Affiliation:
1. Key Laboratory of Science and Technology on Microsystem, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/5962382/10008400/09931904.pdf?arnumber=9931904
Reference11 articles.
1. On the Fundamental Limit of Multipath Matching Pursuit
2. Joint Sparse Recovery Using Signal Space Matching Pursuit
3. Theoretical Results on Sparse Representations of Multiple-Measurement Vectors
4. Simultaneous Block Iterative Method With Adaptive Thresholding for Cooperative Spectrum Sensing
5. Centralized cooperative spectrum sensing from sub-Nyquist samples for Cognitive Radios
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1. Improved Weighted Covariance-Based Detector for Spectrum Sensing in Rayleigh Fading Channel;IEEE Wireless Communications Letters;2024-05
2. Adaptive-Blind Block SOMP for Compressive Spectrum Sensing;GLOBECOM 2023 - 2023 IEEE Global Communications Conference;2023-12-04
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