Results 51 to 60 of about 2,189,605 (128)

A Novel Decentralized Scheme for Cooperative Compressed Spectrum Sensing in Distributed Networks

International Journal of Distributed Sensor Networks, 2015
Compressed sensing (CS) recently turns out to be an effective approach to alleviate the sampling bottleneck in wideband spectrum sensing. However, the computation overhead incurred by compressed reconstruction is nontrivial, especially in a power ...
Huang Jijun, Zha Song
doaj   +1 more source

S-transformation based integrated approach for spectrum estimation, storage, and sensing in cognitive radio

Digital Communications and Networks, 2019
Cognitive Radio (CR) uses the principle of dynamic spectrum allocation to improve the utilization of spectrum bands. The estimation of missing data is essential for maintaining an uninterrupted quality of service in the CR.
Pyari Mohan Pradhan, Ganapati Panda
doaj   +1 more source

Distributed Compressed Spectrum Sensing via Cooperative Support Fusion

International Journal of Distributed Sensor Networks, 2013
Spectrum sensing in wideband cognitive radio (CR) networks faces several significant practical challenges, such as extremely high sampling rates required for wideband processing, impact of frequency-selective wireless fading and shadowing, and limitation
Zha Song, Huang Jijun, Liu Peiguo, He Jianguo   +3 more
doaj   +1 more source

Likelihood ratio test for wideband spectrum sensing

, 2013
In this paper, we propose a novel detection scheme of spectrum sensing for cognitive radio with multiple receive antennas operating over a wideband channel composed of a multitude of subbands. By taking the observations in all subbands into consideration
Iickho Song, Taehun An, Min, Hwang-Ki, Song, Iickho, Hwang-Ki Min, Seungwon Lee, Lee, Seungwon, An, Taehun   +7 more
core   +1 more source

Cooperative Wideband Spectrum Sensing Based on Joint Sparsity [PDF]

, 2017
COOPERATIVE WIDEBAND SPECTRUM SENSING BASED ON JOINT SPARSITY By Ghazaleh Jowkar, Master of Science A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science at Virginia Commonwealth University Virginia ...
jowkar, ghazaleh
core   +1 more source

Low Complexity Sub-Nyquist Wideband Spectrum Sensing for Cognitive Radio

IEEE Access, 2018
In order to provide more available spectrum and quickly switchover, wideband spectrum sensing (WSS) is desirable for cognitive radio. Sub-Nyquist sampling is crucial for WSS to reduce energy and computational costs, while the existing algorithms based on
Jian Yang, Min Jia, Xuemai Gu, Qing Guo
doaj   +1 more source

Evaluation of the wideband compressive radio receiver for spectrum sensing

, 2011
We present an empirical evaluation of the carrier detection method used in the Wideband Compressive Radio Receiver (WCRR), which is of particular interest for spectrum sensing in Cognitive Radio (CR) and Dynamic Spectrum Access (DSA). We study the effect
De Wet, Sarel J., Albert S.J. Helberg, Helberg, Albert S.J., Sarel J. De Wet   +3 more
core   +1 more source

Method and apparatus for wideband spectrum sensing

, 2018
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 ...
J. Nicholas Laneman (17549799), Zhanwei Sun (4496386)   +1 more
core   +1 more source

A NLLS based sub-Nyquist rate Spectrum Sensing for Wideband Cognitive Radio [PDF]

, 2011
For systems and devices, such as cognitive radio and networks, that need to be aware of available frequency bands, spectrum sensing has an important role.
Haghighi, Kasra,, Ashkan Panahi, Panahi, Ashkan,, Moslem Rashidi, Kasra Haghighi, Rashidi Avendi, Moslem, Viberg, Mats,, Mats Viberg, Rashidi Avendi, Moslem,, Viberg, Mats, Haghighi, Kasra, Panahi, Ashkan   +11 more
core   +1 more source

A Fast Power Spectrum Sensing Solution for Generalized Coprime Sampling

Remote Sensing
With the growing scarcity of spectrum resources, wideband spectrum sensing is necessary to process a large volume of data at a high sampling rate. For some applications, only second-order statistics are required for spectrum estimation.
Kaili Jiang, Dechang Wang, Kailun Tian, Yuxin Zhao, Hancong Feng, Bin Tang   +5 more
doaj   +1 more source