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Sensorless Control of PMSG for A Wind Power System Based on CSC
MAO Meiqin,LIU Fuyan,MU Junsheng,XU Bin 전력전자학회 2011 ICPE(ISPE)논문집 Vol.2011 No.5
This paper presents sensorless rotor-flux-oriented control algorithms for the PMSG used in the direct drive wind generation system with a back-to-back current source converter. The proposed algorithms are based on phase-lock-loop and model reference adaptive system methods. These algorithms are analyzed, compared and verified by the simulation and experiment. The simulation and experiment results show that the PLL method is simpler, but more accurate, and has a faster dynamic performance than MRAS method.
A New Fuzzy Key Generation Method Based on PHY-Layer Fingerprints in Mobile Cognitive Radio Networks
( Ning Gao ),( Xiaojun Jing ),( Songlin Sun ),( Junsheng Mu ),( Xiang Lu ) 한국인터넷정보학회 2016 KSII Transactions on Internet and Information Syst Vol.10 No.7
Classical key generation is complicated to update and key distribution generally requires fixed infrastructures. In order to eliminate these restrictions researchers have focused much attention on physical-layer (PHY-layer) based key generation methods. In this paper, we present a PHY-layer fingerprints based fuzzy key generation scheme, which works to prevent primary user emulation (PUE) attacks and spectrum sensing data falsification (SSDF) attacks, with multi-node collaborative defense strategies. We also propose two algorithms, the EA algorithm and the TA algorithm, to defend against eavesdropping attacks and tampering attacks in mobile cognitive radio networks (CRNs). We give security analyses of these algorithms in both the spatial and temporal domains, and prove the upper bound of the entropy loss in theory. We present a simulation result based on a MIMO-OFDM communication system which shows that the channel response characteristics received by legitimates tend to be consistent and phase characteristics are much more robust for key generation in mobile CRNs. In addition, NIST statistical tests show that the generated key in our proposed approach is secure and reliable.
Complexity based Sensing Strategy for Spectrum Sensing in Cognitive Radio Networks
( Kewen Huang ),( Yimin Liu ),( Yuanquan Hong ),( Junsheng Mu ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.9
Spectrum sensing has attracted much attention due to its significant contribution to idle spectrum detection in Cognitive Radio Networks. However, specialized discussion is on complexity-based sensing strategy for spectrum sensing seldom considered. Motivated by this, this paper is devoted to complexity-based sensing strategy for spectrum sensing. Firstly, three efficiency functions are defined to estimate sensing efficiency of a spectrum scheme. Then a novel sensing strategy is proposed given sensing performance and computational complexity. After that, the proposed sensing strategy is extended to energy detector, Cyclostationary feature detector, covariance matrix detector and cooperative spectrum detector. The proposed sensing strategy provides a novel insight into sensing performance estimation for its consideration of both sensing capacity and sensing complexity. Simulations analyze three efficiency functions and optimal sensing strategy of energy detector, Cyclostationary feature detector and covariance matrix detector.