Cooperation and Cognition for Railway Communications
暂无分享,去创建一个
Hao Wu | Bo Ai | Zhangdui Zhong | Gang Zhu | Lei Xiong | Fanggang Wang | Jianwen Ding | Ke Guan | Ruisi He | Lei Lei
[1] Y. Bar-Ness,et al. Modulation classification in fading channels using antenna arrays , 2004, IEEE MILCOM 2004. Military Communications Conference, 2004..
[2] H. Vincent Poor,et al. Spectrum Sensing in Cognitive Radios Based on Multiple Cyclic Frequencies , 2007, 2007 2nd International Conference on Cognitive Radio Oriented Wireless Networks and Communications.
[3] Vinod Chandran,et al. Pattern Recognition Using Invariants Defined From Higher Order Spectra- One Dimensional Inputs , 1993, IEEE Trans. Signal Process..
[4] Chung Chan,et al. Variational-distance-based modulation classifier , 2012, 2012 IEEE International Conference on Communications (ICC).
[5] S. Barbarossa,et al. Blind source separation and signal classification , 2000, Conference Record of the Thirty-Fourth Asilomar Conference on Signals, Systems and Computers (Cat. No.00CH37154).
[6] A. Polydoros,et al. Combined likelihood power estimation and multiple hypothesis modulation classification , 1995, Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers.
[7] Asoke K. Nandi,et al. Automatic Modulation Recognition of Communication Signals , 1996 .
[8] C. Spooner. On the utility of sixth-order cyclic cumulants for RF signal classification , 2001, Conference Record of Thirty-Fifth Asilomar Conference on Signals, Systems and Computers (Cat.No.01CH37256).
[9] Eric Pierre Simon,et al. Blind Digital Modulation Identification for Time-Selective MIMO Channels , 2014, IEEE Wireless Communications Letters.
[10] Zheng Bao,et al. Circularly integrated bispectra: novel shift invariant features for high-resolution radar target recognition , 1998 .
[11] J.-L. Lacoume,et al. Classification of linear modulations by a combination of different orders cyclic cumulants , 1997, Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics.
[12] Jean-Louis Lacoume,et al. Multiple hypothesis modulation classification based on cyclic cumulants of different orders , 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).
[13] S. Soliman,et al. Optimum classifier for M-ary PSK signals , 1991, ICC 91 International Conference on Communications Conference Record.
[14] Marion Berbineau,et al. Blind Modulation Identification for MIMO Systems , 2010, 2010 IEEE Global Telecommunications Conference GLOBECOM 2010.
[15] W.A. Brown,et al. Automatic radio-frequency environment analysis , 2000, Conference Record of the Thirty-Fourth Asilomar Conference on Signals, Systems and Computers (Cat. No.00CH37154).
[16] Yunnan Wu,et al. KNOWS: Cognitive Radio Networks Over White Spaces , 2007, 2007 2nd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks.
[17] Kiseon Kim,et al. On the detection and classification of quadrature digital modulations in broad-band noise , 1990, IEEE Trans. Commun..
[18] Charles L. Weber,et al. Asynchronous classification of MFSK signals using the higher order correlation domain , 1998, IEEE Trans. Commun..
[19] Jerry M. Mendel,et al. Maximum-likelihood classification for digital amplitude-phase modulations , 2000, IEEE Trans. Commun..
[20] Samir S. Soliman,et al. Signal classification using statistical moments , 1992, IEEE Trans. Commun..
[21] K. C. Ho,et al. BPSK and QPSK modulation classification with unknown signal level , 2000, MILCOM 2000 Proceedings. 21st Century Military Communications. Architectures and Technologies for Information Superiority (Cat. No.00CH37155).
[22] Andreas Polydoros,et al. Digital modulation classification: the BPSK versus QPSK case , 1988, MILCOM 88, 21st Century Military Communications - What's Possible?'. Conference record. Military Communications Conference.
[23] Ali Abdi,et al. Survey of automatic modulation classification techniques: classical approaches and new trends , 2007, IET Commun..
[24] Les E. Atlas,et al. Optimizing time-frequency kernels for classification , 2001, IEEE Trans. Signal Process..
[25] C. L. Weber,et al. Higher-order correlation-based classification of asynchronous MFSK signals , 1996, Proceedings of MILCOM '96 IEEE Military Communications Conference.
[26] Jacques Palicot,et al. Cyclostatilonarilty-Based Test for Detection of Vacant Frequency Bands , 2006, 2006 1st International Conference on Cognitive Radio Oriented Wireless Networks and Communications.
[27] Andreas Polydoros,et al. Likelihood methods for MPSK modulation classification , 1995, IEEE Trans. Commun..
[28] Gary Clemo,et al. Blind radio access technology discovery and monitoring for software defined radio communication systems: problems and techniques , 2001 .
[29] Emanuel Radoi,et al. Predicted Eigenvalue Threshold Based Spectrum Sensing with Correlated Multiple-Antennas , 2012, 2012 IEEE 75th Vehicular Technology Conference (VTC Spring).
[30] Y. Shi,et al. M-ary frequency shift keying signal classification based-on discrete Fourier transform , 2003, IEEE Military Communications Conference, 2003. MILCOM 2003..
[31] Yawpo Yang,et al. An asymptotic optimal algorithm for modulation classification , 1998, IEEE Commun. Lett..
[32] Liang Dong,et al. Utilizing OFDM Guard Interval for Spectrum Sensing , 2007, 2007 IEEE Wireless Communications and Networking Conference.
[33] H. Tang,et al. Some physical layer issues of wide-band cognitive radio systems , 2005, First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005..
[34] Danijela Cabric,et al. Computationally Efficient Modulation Level Classification Based on Probability Distribution Distance Functions , 2010, IEEE Communications Letters.
[35] R. J. Holbeche,et al. Classification of PSK signals using the DFT of phase histogram , 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.
[36] M. Oner,et al. Cyclostationarity based air interface recognition for software radio systems , 2004, Proceedings. 2004 IEEE Radio and Wireless Conference (IEEE Cat. No.04TH8746).
[37] R.W. Brodersen,et al. Implementation issues in spectrum sensing for cognitive radios , 2004, Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004..
[38] N. Greco,et al. Reconfigurable terminals: an overview of architectural solutions , 2001 .
[39] K. C. Ho,et al. Classification of BPSK and QPSK signals with unknown signal level using the Bayes technique , 2003, Proceedings of the 2003 International Symposium on Circuits and Systems, 2003. ISCAS '03..
[40] Hüseyin Arslan,et al. A novel sub-optimum maximum-likelihood modulation classification algorithm for adaptive OFDM systems , 2004, 2004 IEEE Wireless Communications and Networking Conference (IEEE Cat. No.04TH8733).
[41] C. Cordeiro,et al. Spectrum agile radios: utilization and sensing architectures , 2005, First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005..
[42] Anant Sahai,et al. Fundamental design tradeoffs in cognitive radio systems , 2006, TAPAS '06.
[43] Jeffrey H. Reed,et al. Future Wireless Communication Systems for Railways , 2010 .
[44] Samir S. Soliman,et al. Automatic modulation classification using zeroç crossing , 1990 .
[45] Yawpo Yang,et al. An improved moment-based algorithm for signal classification , 1995, Signal Process..
[46] Geoffrey Ye Li,et al. Agility improvement through cooperative diversity in cognitive radio , 2005, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..
[47] K. C. Ho,et al. Modulation identification by the wavelet transform , 1995, Proceedings of MILCOM '95.
[48] Y. Bar-Ness,et al. Higher-order cyclic cumulants for high order modulation classification , 2003, IEEE Military Communications Conference, 2003. MILCOM 2003..
[49] Emanuel Radoi,et al. Non-parametric multiple-antenna blind spectrum sensing by predicted eigenvalue threshold , 2012, 2012 IEEE International Conference on Communications (ICC).
[50] Panagiotis Papadimitratos,et al. A bandwidth sharing approach to improve licensed spectrum utilization , 2005, First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005..
[51] Yawpo Yang,et al. A suboptimal algorithm for modulation classification , 1997, IEEE Transactions on Aerospace and Electronic Systems.
[52] Harold H. Szu,et al. Novel identification of intercepted signals from unknown radio transmitters , 1995, Defense, Security, and Sensing.
[53] S. S. Soliman,et al. Automatic modulation recognition of digitally modulated signals , 1989, IEEE Military Communications Conference, 'Bridging the Gap. Interoperability, Survivability, Security'.
[54] Achilleas Anastasopoulos,et al. Likelihood ratio tests for modulation classification , 2000, MILCOM 2000 Proceedings. 21st Century Military Communications. Architectures and Technologies for Information Superiority (Cat. No.00CH37155).
[55] Brian M. Sadler,et al. Hierarchical digital modulation classification using cumulants , 2000, IEEE Trans. Commun..
[56] A. K. Nandi,et al. Procedure for automatic recognition of analogue and digital modulations , 1996 .
[57] Ian F. Akyildiz,et al. NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey , 2006, Comput. Networks.
[58] A Amanna,et al. Railway Cognitive Radio , 2010, IEEE Vehicular Technology Magazine.
[59] Michel Barbeau,et al. Detecting rogue devices in bluetooth networks using radio frequency fingerprinting , 2006, Communications and Computer Networks.
[60] K. C. Ho,et al. Identification of digital modulation types using the wavelet transform , 1999, MILCOM 1999. IEEE Military Communications. Conference Proceedings (Cat. No.99CH36341).
[61] O. Ureten,et al. Detection of radio transmitter turn-on transients , 1999 .
[62] H. Urkowitz. Energy detection of unknown deterministic signals , 1967 .
[63] K. C. Ho,et al. Modulation identification of digital signals by the wavelet transform , 2000 .
[64] Simon Haykin,et al. Cognitive radio: brain-empowered wireless communications , 2005, IEEE Journal on Selected Areas in Communications.
[65] Y. Bar-Ness,et al. Selection combining for modulation recognition in fading channels , 2005, MILCOM 2005 - 2005 IEEE Military Communications Conference.
[66] Fanggang Wang,et al. Fast and Robust Modulation Classification via Kolmogorov-Smirnov Test , 2010, IEEE Transactions on Communications.
[67] T. Yucek,et al. Spectrum Characterization for Opportunistic Cognitive Radio Systems , 2006, MILCOM 2006 - 2006 IEEE Military Communications conference.
[68] Jitendra K. Tugnait. Detection of non-Gaussian signals using integrated polyspectrum , 1994, IEEE Trans. Signal Process..
[69] J. Grajal,et al. Digital channelized receiver based on time-frequency analysis for signal interception , 2005, IEEE Transactions on Aerospace and Electronic Systems.
[70] N. Huang,et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis , 1998, Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.
[71] O. Ureten,et al. Bayesian detection of Wi-Fi transmitter RF fingerprints , 2005 .
[72] R. Tandra,et al. Fundamental limits on detection in low SNR under noise uncertainty , 2005, 2005 International Conference on Wireless Networks, Communications and Mobile Computing.
[73] S. Soliman,et al. Statistical moments based classifier for MPSK signals , 1991, IEEE Global Telecommunications Conference GLOBECOM '91: Countdown to the New Millennium. Conference Record.
[74] J. Sills. Maximum-likelihood modulation classification for PSK/QAM , 1999, MILCOM 1999. IEEE Military Communications. Conference Proceedings (Cat. No.99CH36341).
[75] V. Koivunen,et al. Automatic Radar Waveform Recognition , 2007, IEEE Journal of Selected Topics in Signal Processing.
[76] Mohamed-Slim Alouini,et al. On the energy detection of unknown signals over fading channels , 2003, IEEE International Conference on Communications, 2003. ICC '03..
[77] Zhifeng Yun,et al. Novel Automatic Modulation Classification Using Cumulant Features for Communications via Multipath Channels , 2008, IEEE Transactions on Wireless Communications.
[78] K. C. Ho,et al. Antenna array likelihood modulation classifier for BPSK and QPSK signals , 2002, MILCOM 2002. Proceedings.
[79] W. Kinsner,et al. Multifractal modelling of radio transmitter transients for classification , 1997, IEEE WESCANEX 97 Communications, Power and Computing. Conference Proceedings.
[80] C. Le Martret,et al. Modulation classification by means of different orders statistical moments , 1997, MILCOM 97 MILCOM 97 Proceedings.
[81] Oktay Üreten,et al. Bayesian detection of radio transmitter turn-on transients , 1999, NSIP.
[82] K. C. Ho,et al. Modulation classification of BPSK and QPSK signals using a two element antenna array receiver , 2001, 2001 MILCOM Proceedings Communications for Network-Centric Operations: Creating the Information Force (Cat. No.01CH37277).
[83] Charles L. Weber,et al. Higher-Order Correlation-Based Approach to Modulation Classification of Digitally Frequency-Modulated Signals , 1995, IEEE J. Sel. Areas Commun..
[84] J. D. Martin,et al. Maximum likelihood PSK classifier , 1996, Proceedings of MILCOM '96 IEEE Military Communications Conference.
[85] Octavia A. Dobre,et al. Robust QAM modulation classification algorithm using cyclic cumulants , 2004, 2004 IEEE Wireless Communications and Networking Conference (IEEE Cat. No.04TH8733).
[86] A. Polydoros,et al. Further results in likelihood classification of QAM signals , 1994, Proceedings of MILCOM '94.
[87] R.W. Brodersen,et al. Spectrum Sensing Measurements of Pilot, Energy, and Collaborative Detection , 2006, MILCOM 2006 - 2006 IEEE Military Communications conference.