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Content Provider | IET Digital Library |
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Author | Karampoulas, Dimitrios Dooley, Laurence S. Mostefaoui, Soraya Kouadri |
Abstract | A major challenge in spectrum sensing for cognitive radio (CR) applications is the very high sampling rates involved, which imposes significant demands on the signal acquisition technology. This has given impetus to applying compressive sensing (CS) as a sub-Nyquist sampling paradigm for CR-type wireless signals which exhibit sparsity in certain domains. CS architectures like the random demodulator (RD) and compressive multiplexer (CM) can be used for CR spectral sensing, though both are inherently restricted in terms of the signal classes they can effectively process. To address these limitations, this study presents two unified RD and CM-based CS architectures that seamlessly integrate precolouring and the multitaper spectral estimator into their respective structures to facilitate efficient sensing of both digitally modulated and narrowband signals, along with popular CR-access technologies like orthogonal frequency division multiplexing. A significant feature of these unified CS architectures is they do not require a priori knowledge of either the input signal or modulation scheme, while a tristate spectral classifier is introduced to afford notably enhanced spectrum access opportunities for unlicensed secondary users. A critical performance evaluation corroborates that both unified architectures demonstrate consistently superior CS results and robustness across a broad range of CR-type signals, modulations and access technologies. |
Starting Page | 513 |
Ending Page | 521 |
Page Count | 9 |
ISSN | 17519675 |
Volume Number | 14 |
e-ISSN | 17519683 |
Issue Number | Issue 8, Oct (2020) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-spr/14/8 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2019.0589 |
Journal | IET Signal Processing |
Publisher Date | 2020-07-30 |
Access Restriction | Open |
Rights Holder | © The Institution of Engineering and Technology |
Subject Keyword | Cognitive Radio Compressed Sensing Compressive Multiplexer Architectures Consistently Superior CS Result CR Spectral Sensing CR-type Signal CR-type Wireless Signal Digitally Modulated Signal Efficient Sensing High Sampling Rates Input Signal Modulation And Coding Method Multiplexing Multitaper Spectral Estimator Narrowband Signal Notably Enhanced Spectrum Access Opportunities OFDM Modulation Optimisation Technique Orthogonal Frequency Division Multiplexing System Popular CR-access Technology Radio Link And Equipment Radio Spectrum Management Random Demodulator Signal Acquisition Technology Signal Classes Signal Detection Signal Processing And Detection Signal Reconstruction Signal Sampling Significant Demands Significant Feature Spectrum Sensing Statistics Sub-Nyquist Sampling Paradigm Tristate Spectral Classifier Unified Architectures Unified Compressive Sensing Paradigm Unified CS Architectures Unified RD |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Electrical and Electronic Engineering |
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