Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Eric Rebeiz"'
Autor:
Ramesh Harjani, Hundo Shin, Dejan Markovic, Sina Basir-Kazeruni, Fang-Li Yuan, Danijela Cabric, Rakesh Kumar Palani, Anindya Saha, Brian M. Sadler, Eric Rebeiz
Publikováno v:
IEEE Communications Magazine. 53:173-181
A wideband signal sensor is an essential component to enable cognitive radio and dynamic spectrum access techniques, providing real-time detection and modulation classification in a wideband environment of interest. The problem is challenging, requir
Publikováno v:
IEEE Transactions on Signal Processing. 63:1950-1964
Intermodulation products arise as a result of low noise amplifier (LNA) and mixer non-linearities in wideband receivers. In the presence of strong blockers, the intermodulation distortion can deteriorate the spectrum sensing performance by causing fa
Publikováno v:
IEEE Transactions on Circuits and Systems I: Regular Papers. 61:587-599
Blind modulation classification is of vital importance in spectrum surveillance applications and future heterogeneous wireless networks. In standardized wireless systems, modulation classification can be performed through exhaustive search of known s
Publikováno v:
IEEE Transactions on Signal Processing. 61:3931-3943
In the context of Cognitive Radios (CRs), cyclostationary detection of primary users (PUs) is regarded as a common method for spectrum sensing. Cyclostationary detectors rely on the knowledge of the signal's symbol rate, carrier frequency, and modula
Publikováno v:
GLOBECOM
We propose a primary user (PU) traffic distribution classifier for dynamic spectrum access networks based on multi-hypothesis sequential probability ratio test (MSPRT). In specific, we propose two classifiers: (i) an estimate-then-classify classifier
Autor:
Eric Rebeiz, Danijela Cabric
Publikováno v:
GlobalSIP
Wideband receivers are appealing for cognitive radio spectrum sensing as they allow sensing multiple subbands in parallel. However, wideband radio front-end circuits introduce various impairments into the received signal, which make detection of unoc
Publikováno v:
SPAWC
In the context of Cognitive Radio (CR), opportunistic transmissions can exploit temporarily vacant spectral bands. Efficient and reliable spectrum sensing is a key in the CR process. CR receivers traditionally deal with wideband signals with high Nyq
In this letter, we derive the optimal discriminant functions for modulation classification based on the sampled distribution distance. The proposed method classifies various candidate constellations using a low complexity approach based on the distri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9638305ed7ab4f497a9d6613f8324c8a
http://arxiv.org/abs/1302.4773
http://arxiv.org/abs/1302.4773
Publikováno v:
GLOBECOM
In this paper, we propose a signal-selective spectrum sensing method for cognitive radio networks and specifically targeted for receivers with multiple-antenna capability. This method is used for detecting the presence or absence of primary users bas
In this paper, we propose and analyze a spectrum sensing method based on cyclostationarity specifically targeted for receivers with multiple antennas. This detection method is used for determining the presence or absence of primary users in cognitive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e0aac16e8dbe75cf18720cfe6061594
http://arxiv.org/abs/1211.0313
http://arxiv.org/abs/1211.0313