Results 221 to 230 of about 22,442 (264)

Wideband spectrum sensing technique based on multitask compressive sensing

2016 IEEE Symposium on Computers and Communication (ISCC), 2016
Sensing the spectrum is the central operation to enable cognitive users to identify the spectrum occupancy. Wideband spectrum sensing enables detecting occupancy at different bands. In this paper, we propose a wavelet based multitask compressive sensing (WMCS) algorithm for constructing the spectrum edges directly from the compressive measurement.
Osama Elnahas, Maha Elsabrouty
openaire   +1 more source

Cooperative wideband spectrum sensing based on sequential compressed sensing

Journal of Electronics (China), 2011
Compressed sensing offers a new wideband spectrum sensing scheme in Cognitive Radio (CR). A major challenge of this scheme is how to determinate the required measurements while the signal sparsity is not known a priori. This paper presents a cooperative sensing scheme based on sequential compressed sensing where sequential measurements are collected ...
Bin Gu, Zhen Yang, Haifeng Hu
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DISCRIMINATING STATISTICAL FEATURE FOR WIDEBAND SPECTRUM SENSING

REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE, 2023
Spectrum-aware devices and cognitive radios with wideband spectrum sensing will be an integral part of 5G or beyond wireless broadband. They must be fast and energy efficient for opportunistic dynamic access to the licensed spectrum. Compressed sensing (CS) methods can implement wideband sensing with reduced time and power consumption but are ...
ASHWINI KUMAR VARMA, AJEET KUMAR VISHWAKARMA, ANOOP KUMAR TIWARI, DEBJANI MITRA   +3 more
openaire   +1 more source

Frugal Sensing: Wideband Power Spectrum Sensing From Few Bits

IEEE Transactions on Signal Processing, 2013
Wideband spectrum sensing is a key requirement for cognitive radio access. It now appears increasingly likely that spectrum sensing will be performed using networks of sensors, or crowd-sourced to handheld mobile devices. Here, a network sensing scenario is considered, where scattered low-end sensors filter and measure the average signal power across a
Omar Mehanna, Nicholas D. Sidiropoulos
openaire   +1 more source

Wideband spectrum sensing based on coprime sampling

2015 22nd International Conference on Telecommunications (ICT), 2015
In wideband compressive spectrum sensing, when the number of occupied subbands in the monitored wideband increases, the existing compressive sensing approaches have to raise the sampling rate to maintain a desired sensing performance. What is worse, that will add computational complexity of the following signal reconstruction.
Shiyu Ren, Zhimin Zeng, Caili Guo, Xuekang Sun   +3 more
openaire   +1 more source

Wideband Spectrum Sensing Techniques

2015
From a physical standpoint, the distinguishing feature of a cognitive radio (CR) is the spectrum sensing unit (SSU). The SSU must be designed in such a way that it can scan the entire frequency spectrum and locate unused channels. The location of unused channels is not a trivial task for two main reasons. First, the frequency spectrum band may be large
openaire   +1 more source

Method and apparatus for wideband spectrum sensing

2023
Examples of wideband spectrum sensing techniques for cognitive radio are provided. The techniques permit undersampling (e.g., sub-Nyquist sampling) the spectrum band, which permits use of more cost effective electronic components (e.g., lower frequency analog-to-digital converters (ADC)). The techniques permit determination of whether there are any (or
Laneman, J. Nicholas, Sun, Zhanwei
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Low-power architecture for wideband spectrum sensing

2012 3rd International Workshop on Cognitive Information Processing (CIP), 2012
In this paper, a novel power efficient architecture for detecting the spectral holes over a very high bandwidth is proposed. Wideband spectrum sensing poses serious challenges for low-power spectrum sharing radios (for e.g., cognitive radio) which cannot afford to use high-rate Analog-to-Digital Converters (ADCs) to sample the signals at Nyquist rate ...
Sundeep Prabhakar Chepuri, Ruben de Francisco, Geert Leus   +2 more
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Wideband Digital Channelizer based on Spectrum Sensing

2020 Third International Conference on Advances in Electronics, Computers and Communications (ICAECC), 2020
A Software Defined Radio (SDR) has advanced significantly in all fields including military and mobile communications. In this paper, main requirement of a SDR is presented to effectively channelize the wideband input signal into sub-bands. A channelizer splits a broadband input signal into independent signals.
Bindu H M, Kiran A Gupta
openaire   +1 more source

How wideband receiver nonlinearities impact spectrum sensing

2013 IEEE Global Conference on Signal and Information Processing, 2013
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 unoccupied bands difficult.
Eric Rebeiz, Danijela Cabric
openaire   +1 more source