[PDF] Top 20 Blind Spectrum Sensing Algorithm Based on Blind Signal Separation in Cognitive Radar
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Blind Spectrum Sensing Algorithm Based on Blind Signal Separation in Cognitive Radar
... of spectrum sensing is ...in spectrum sensing process the calculation of the HOS of the received signal will not be influenced by the Gaussian noise and we can directly determine the ... See full document
6
Multi antenna Spectrum Sensing Based on Stochastic Resonance
... authorization spectrum hole, which is the effective method to solve the problem of spectrum shortage ...[1]. spectrum sensing is an important ...weak signal in the low SNR is a ...the ... See full document
5
Energy Efficient Spectrum Sensing and Sensor Scheduling Scheme for MIMO-OFDM Based Cognitive Radio Network
... efficient spectrum sharing technology, Cognitive Radio (CR) is proposed to increase the usage of the available ...MIMO-OFDM based Cognitive Radio technology is considered as a promised scheme ... See full document
9
Based On Optimal Merging Criteria For Spectrum Sensing Techniques In Femtocell System
... using spectrum sensing techniques in a home base station is ...use cognitive radio technology to manage spectrum resources to suppress the same layer interference between Macrocell and ... See full document
8
Application of Single Channel Blind Separation Algorithm Based on EEMD PCA RobustICA in Bearing Fault Diagnosis
... channel blind source separation method combining EEMD, PCA and RobustICA is ...observation signal the multidimensional IMF components are obtained, and the principal component analysis (PCA) is ... See full document
11
Cooperative Spectrum Sensing Technique Based on Blind Detection Method
... Abstract— Spectrum sensing is a key task for cognitive ...of spectrum sensing in cognitive radio. The spectrum-sensing algorithms are proposed based on the ... See full document
5
Blind spectrum sensing for cognitive radio over time variant multipath flat fading channels
... promising spectrum sensing algorithm which could find wide use in CR systems is proposed in this ...this algorithm are ...perform spectrum sensing under TVMFF channel. The ... See full document
13
INCORPORATING DEOXYRIBONUCLEIC ACID IN AES SCHEME FOR ENHANCING SECURITY AND PRIVACY PROTECTION
... Spectrum sensing is a main function in cognitive radio networks to detect the spectrum holes or unused ...Cooperative spectrum sensing schemes are recently suggested and they ... See full document
7
On the Performance Analysis of Blind Spectrum Sensing Methods for Different Communication Channels
... Energy sensing is one of the most common spectrum sensing methods because it requires no knowledge of the primary user signal in addition to its low mathematical and hardware complexity ...in ... See full document
6
Dynamic Spectrum Access on OFDM Based Wireless Emergency Communications: Kolmogorov-Smirnov Test Based Sensing
... low-cost cognitive radio platform developed by Ettus Research ...making signal processing operations on a computer and general purpose tasks including decimation, interpolation, digital up-down conversions ... See full document
8
Relevance of polynomial matrix decompositions to broadband blind signal separation
... broadband blind source separation (BSS). Based on basic de fi nitions of polynomial matrix terminology such as parahermitian and paraunitary matrices, strong decorrelation and spectral majorisation, ... See full document
11
An Effective Wideband Spectrum Sensing Method Based on Sparse Signal Reconstruction for Cognitive Radio Networks
... Abstract—Wideband spectrum sensing is an essential functionality for cognitive radio ...enables cognitive radios to detect spectral holes over a wideband channel and to opportunistically use ... See full document
13
Efficient blind spectrum sensing for cognitive radio networks based on compressed sensing
... in spectrum sensing can be classified into two categories: (1) Con- vex relaxing-based methods, such as basis pursuit (BP) [15,16] and Dantzig Selector [17]; (2) Greedy algorithm- based ... See full document
10
Signal Type Detection in CRN :A Machine Learning Framework Using Spectral Correlation Feature
... of signal parameters such as carrier frequency or signal bandwidth,but is highly prone to in-band interference and changing noise levels ...between signal types, but can only determine whether or not ... See full document
7
Cognitive Radio wideband spectrum sensing using Sub Nyquist sampling
... wideband spectrum effectively which uses the multi-coset sampling achieved by sampling rate lesser than the Nyquist ...The spectrum is reconstructed using the sampled data by spectral ...of spectrum ... See full document
6
A wireless MIMO CPM system with blind signal separation for incoherent demodulation
... frequency. Blind signal separa- tion (BSS) is applied in the proposed MIMO CPM receiver to separate the signals without any knowledge of the MIMO ...rated signal by an incoherent CPM ... See full document
5
Exploiting Narrowband Efficiency for Broadband Convolutive Blind Source Separation
... domain blind source separation of audio ...and Signal Processing at the University of Erlangen- Nuremberg, ...to blind source separation, noise reduc- tion, source localization, ... See full document
9
Blind Voice Separation Based on Empirical Mode Decomposition and Grey Wolf Optimizer Algorithm
... the separation results for the investigated criteria, it can be concluded that convergence using GWO occurs faster than the genetic ...the separation process is more prominent when the number of sources is ... See full document
13
A study of blind source separation using nonnegative matrix factorization
... target signal and inversely proportional to the square of interference ...target signal will lead to the increment of SIR and vice versa with the circumstances of interference ...speech separation by ... See full document
7
Blind Source Separation Survey
... covering based targets and mapping-based targets. Concealing based targets portray the time-recurrence connections of clean discourse to foundation obstruction, while mapping-based targets ... See full document
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