dc.contributor.advisor | Entesari, Kamran | |
dc.creator | Sepidband, Paria | |
dc.date.accessioned | 2018-02-05T16:48:57Z | |
dc.date.available | 2019-08-01T06:52:52Z | |
dc.date.created | 2017-08 | |
dc.date.issued | 2017-05-26 | |
dc.date.submitted | August 2017 | |
dc.identifier.uri | https://hdl.handle.net/1969.1/165716 | |
dc.description.abstract | Real time spectrum sensing refers to searching for possible signals at a specific time and location, which is applicable to cognitive radio (CR) for primary signal detection and ultra-wideband (UWB) radio for interferer detection. There are several approaches for spectrum sensing. Choosing a proper method for spectrum sensing necessitates evaluating several trade-offs among sensing time, accuracy, power consumption and simplicity of implementation.
In this dissertation several approaches for spectrum sensing along with the applications to CR and UWB receivers are presented. A novel simple spectrum sensing technique for detecting weak primary signals with negative signal-to-noise ratio (SNR) is proposed, which is called quasi-cyclostationary feature detection (QCFD) technique. Moreover, a simple, reliable, and fast real-time spectrum sensing technique based on phasers, which are dispersive delay structures (DDSs), is proposed. Lastly, a UWB receiver robust to the narrowband (NB) blockers, in the vicinity of UWB frequency, is presented. To increase the robustness of the UWB receiver towards interferers, a dynamic blocker detector, utilizing a phaser-based real time spectrum sensing technique, is employed. The proposed spectrum sensing methods provide the best solutions for the intended applications, considering the trade-offs, compared to the state-of-the-art CMOS spectrum sensors. | en |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | |
dc.subject | Cognitive radio (CR) | en |
dc.subject | cyclic autocorrelation | en |
dc.subject | cyclostationary feature detection | en |
dc.subject | signal-to-noise ratio (SNR) | en |
dc.subject | quasi cyclostationary feature detection (QCFD) | en |
dc.subject | signal detection | en |
dc.subject | primary user | en |
dc.subject | secondary user | en |
dc.subject | real-time spectrum sensing | en |
dc.subject | sensing time | en |
dc.subject | group-delay | en |
dc.subject | phaser | en |
dc.subject | tunable band-pass filter (BPF) | en |
dc.subject | channel discrimination | en |
dc.subject | Ultra-wideband (UWB) | en |
dc.subject | out-of-band input-referred third order intercept point (OB-IIP3) | en |
dc.subject | out-of-band input-referred second-order intercept point (OB-IIP2) | en |
dc.subject | interferer detection | en |
dc.subject | tunable notch filters | en |
dc.subject | active inductor. | en |
dc.title | Novel Approaches in RF/Analog CMOS Spectrum Sensing and Its Applications | en |
dc.type | Thesis | en |
thesis.degree.department | Electrical and Computer Engineering | en |
thesis.degree.discipline | Electrical Engineering | en |
thesis.degree.grantor | Texas A & M University | en |
thesis.degree.name | Doctor of Philosophy | en |
thesis.degree.level | Doctoral | en |
dc.contributor.committeeMember | Palermo, Samuel | |
dc.contributor.committeeMember | Narayanan, Krishna | |
dc.contributor.committeeMember | Zoghi, Behbood | |
dc.type.material | text | en |
dc.date.updated | 2018-02-05T16:48:58Z | |
local.embargo.terms | 2019-08-01 | |
local.etdauthor.orcid | 0000-0001-9673-4233 | |