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A Spectrum Sensing Method Using Output of PFD

by Tanvi Mehata, Prof N. D. Dhoot
"... Abstract — Spectrum sensing is an important function of Cognitive Radio. In this paper, a spectrum sensing method is proposed based on the output of a PFD. It is a blind spectrum sensing method that doesn’t require knowledge of incoming signal. The probability of false alarm and probability of detec ..."
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Abstract — Spectrum sensing is an important function of Cognitive Radio. In this paper, a spectrum sensing method is proposed based on the output of a PFD. It is a blind spectrum sensing method that doesn’t require knowledge of incoming signal. The probability of false alarm and probability

Spectrum Sensing Method Based On The Likelihood Ratio Goodness of Fit test

by D. Teguig, V. Le Nir, B. Scheers
"... In this letter, a blind spectrum sensing method based on goodness-of-fit (GoF) test using likelihood ratio (LLR) is studied. In the proposed method, a chi-square distribution is used for GoF testing. The performance of the method is evaluated through Monte Carlo simulations. It is shown that the pro ..."
Abstract - Cited by 1 (1 self) - Add to MetaCart
In this letter, a blind spectrum sensing method based on goodness-of-fit (GoF) test using likelihood ratio (LLR) is studied. In the proposed method, a chi-square distribution is used for GoF testing. The performance of the method is evaluated through Monte Carlo simulations. It is shown

A STUDY ON SPECTRUM SENSING METHODS OF COGNITIVE RADIO

by M. Lakshmi, R. Saravanan, R. Muthaiah
"... Abstract: Cognitive radio (CR) is a promising technology which avoids congestion in wireless communication by exploiting unused radio spectrum. The Spectrum sensing (SS) plays a fundamental requirement of CR which finds an unused free spectrum and detects the licensed user transmissions. This paper ..."
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Abstract: Cognitive radio (CR) is a promising technology which avoids congestion in wireless communication by exploiting unused radio spectrum. The Spectrum sensing (SS) plays a fundamental requirement of CR which finds an unused free spectrum and detects the licensed user transmissions. This paper

A Spectrum Sensing Method Based on Gabor Transform for Cognitive Radio

by Ifsa Publishing, Hong Chen, Shubin Wang, Huiqin Liu, Bingxin Yan, Yuanyuan Bao , 2014
"... Abstract: In order to improve the sensing performance for cognitive radio, this paper proposes a spectrum sensing method based on Gabor transform. Firstly, a continuous-time signal is transformed into a discrete-time signal, then, the discrete-time signal is converted into Gabor transform by over-sa ..."
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Abstract: In order to improve the sensing performance for cognitive radio, this paper proposes a spectrum sensing method based on Gabor transform. Firstly, a continuous-time signal is transformed into a discrete-time signal, then, the discrete-time signal is converted into Gabor transform by over

Comparative Study of Spectrum Sensing Methods in Cognitive Radio Network

by Sarwar Ali, Md Monirul Islam
"... Abstract: Rapid growth of wireless applications and services has made it essential to address spectrum scarcity problem in the limited available spectrum. Thus we need a new communication paradigm to utilize the existing wireless spectrum and efficient in spectrum usage. Cognitive Radio technology a ..."
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attempts to resolve this problem through improved utilization of radio spectrum, in which secondary usage of the spectrum resources is done without interfering with the primary usage of the licensed users. Spectrum sensing is a fundamental requirement in Cognitive Radio network to enhance the primary user

An Effective Wideband Spectrum Sensing Method for a Single CR

by Ruiyan Du, Fulai Liu, Zixuan Zhang, Jinkuan Wang
"... Abstract. This paper presents a wideband spectrum sensing algorithm for a cognitive radio (CR) user equipped with a single receiving antenna. Firstly, the proposed method utilizes the temporal smoothing technique to form a virtual multi-antenna structure. Secondly, the wideband spectrum sensing prob ..."
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Abstract. This paper presents a wideband spectrum sensing algorithm for a cognitive radio (CR) user equipped with a single receiving antenna. Firstly, the proposed method utilizes the temporal smoothing technique to form a virtual multi-antenna structure. Secondly, the wideband spectrum sensing

WIDEBAND AND NARROWBAND SPECTRUM SENSING METHODS USING SOFTWARE DEFINED RADIOS By

by Jason Stegman, Jason Stegman, Major Professor, Dr. X. Zhou , 2014
"... The ability to accurately sense the surrounding wireless spectrum, without having any prior information about the type of signals present, is an important aspect for dynamic spectrum access and cognitive radio. Energy detection is one viable method, however its performance is limited at low SNR and ..."
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The ability to accurately sense the surrounding wireless spectrum, without having any prior information about the type of signals present, is an important aspect for dynamic spectrum access and cognitive radio. Energy detection is one viable method, however its performance is limited at low SNR

Spectrum sensing method based on Goodness of Fit test using chi-square

by D. Teguig, V. Le Nir, B. Scheers
"... distribution ..."
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distribution

Performance of the LAD Spectrum Sensing Method in Measured Noise at Frequency Ranges between 10 MHz and 39 GHz

by Johanna Vartiainen, Risto Vuohtoniemi
"... Abstract—Spectrum sensing is a low-complex and interesting way to find unused white spaces for secondary users transmission in cognitive radio. Because radio frequencies are strategic resource, their reallocation is required to ensure enough capacity for future communication devices. In addition to ..."
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to commonly used frequencies, millimetric waves have been proposed to be used for communication to fulfill upcoming needs. Because of broad operating area, adaptive spectrum sensing methods are needed to manage in different noise environments. For that reason, noise measurements were performed at several

Compressed sensing

by Yaakov Tsaig, David L. Donoho , 2004
"... We study the notion of Compressed Sensing (CS) as put forward in [14] and related work [20, 3, 4]. The basic idea behind CS is that a signal or image, unknown but supposed to be compressible by a known transform, (eg. wavelet or Fourier), can be subjected to fewer measurements than the nominal numbe ..."
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We study the notion of Compressed Sensing (CS) as put forward in [14] and related work [20, 3, 4]. The basic idea behind CS is that a signal or image, unknown but supposed to be compressible by a known transform, (eg. wavelet or Fourier), can be subjected to fewer measurements than the nominal
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