메뉴 건너뛰기




Volumn 94, Issue 1, 2014, Pages 264-277

Genetic algorithm optimized distribution sampling test for M-QAM modulation classification

Author keywords

Automatic modulation classification; AWGN; Cognitive radio; Distribution test; Flat fading channel; Genetic algorithm

Indexed keywords

AUTOMATIC CLASSIFICATION; AUTOMATIC MODULATION CLASSIFICATION; AWGN; CLASSIFICATION ACCURACY; CLASSIFICATION PERFORMANCE; CUMULATIVE DISTRIBUTION; FLAT-FADING CHANNELS; MODULATION CLASSIFICATION;

EID: 84880962454     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.sigpro.2013.05.024     Document Type: Article
Times cited : (40)

References (31)
  • 2
    • 0021476632 scopus 로고
    • Computer simulation of an automatic classification procedure for digitally modulated communication signals with unknown parameters
    • DOI 10.1016/0165-1684(84)90063-X
    • F.F. Liedtke Computer simulation of an automatic classification procedure for digitally modulated communication signals with unknown parameters Signal Processing 6 4 1984 311 323 (Pubitemid 14625413)
    • (1984) Signal Processing , vol.6 , Issue.4 , pp. 311-323
    • Liedtke, F.F.1
  • 3
    • 0029407281 scopus 로고
    • Automatic identification of digital modulation types
    • E.E. Azzouz, and A.K. Nandi Automatic identification of digital modulation types Signal Processing 47 1 1995 55 69
    • (1995) Signal Processing , vol.47 , Issue.1 , pp. 55-69
    • Azzouz, E.E.1    Nandi, A.K.2
  • 4
    • 0032045669 scopus 로고    scopus 로고
    • Algorithms for automatic modulation recognition of communication signals
    • PII 0090677898031419
    • A.K. Nandi, and E.E. Azzouz Algorithms for automatic modulation recognition of communication signals IEEE Transactions on Communications 46 4 1998 431 436 (Pubitemid 128739394)
    • (1998) IEEE Transactions on Communications , vol.46 , Issue.4 , pp. 431-436
    • Nandi, A.K.1    Azzouz, E.E.2
  • 5
    • 0033893527 scopus 로고    scopus 로고
    • Hierarchical digital modulation classification using cumulants
    • DOI 10.1109/26.837045
    • A. Swami, and B.M. Sadler Hierarchical digital modulation classification using cumulants IEEE Transactions on Communications 48 3 2000 416 429 (Pubitemid 30589209)
    • (2000) IEEE Transactions on Communications , vol.48 , Issue.3 , pp. 416-429
    • Swami, A.1    Sadler, B.M.2
  • 6
    • 34247238287 scopus 로고    scopus 로고
    • Survey of automatic modulation classification techniques: Classical approaches and new trends
    • DOI 10.1049/iet-com:20050176
    • O.A. Dobre, A. Abdi, and Y. Bar-Ness Survey of automatic modulation classification techniques classical approaches and new trends IET Communications 1 2 2007 137 156 (Pubitemid 46627363)
    • (2007) IET Communications , vol.1 , Issue.2 , pp. 137-156
    • Dobre, O.A.1    Abdi, A.2    Bar-Ness, Y.3    Su, W.4
  • 7
    • 38549083304 scopus 로고    scopus 로고
    • Modulation scheme classification for 4G software radio wireless networks
    • K. Nolan, L. Doyle, P. Mackenzie, D. O'Mahony, Modulation scheme classification for 4G software radio wireless networks, in: Proceedings of the IASTED, 2002, pp. 4-10.
    • (2002) Proceedings of the IASTED , pp. 4-10
    • Nolan, K.1    Doyle, L.2    Mackenzie, P.3    O'Mahony, D.4
  • 10
    • 84880948265 scopus 로고    scopus 로고
    • Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specification, IEEE Std. 802.11a, 1999.
    • Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specification, IEEE Std. 802.11a, 1999.
  • 11
    • 84880935974 scopus 로고    scopus 로고
    • Digital Video Broadcasting Terrestrial, The Digital Video Broadcasting Project, 1997.
    • Digital Video Broadcasting Terrestrial, The Digital Video Broadcasting Project, 1997.
  • 12
    • 0033880339 scopus 로고    scopus 로고
    • Maximum-likelihood classification for digital amplitude-phase modulations
    • DOI 10.1109/26.823550
    • W. Wei, and J.M. Mendel Maximum-likelihood classification for digital amplitude-phase modulations IEEE Transactions on Communications 48 2 2000 189 193 (Pubitemid 30564381)
    • (2000) IEEE Transactions on Communications , vol.48 , Issue.2 , pp. 189-193
    • Wei, W.1    Mendel, J.M.2
  • 13
    • 77955425660 scopus 로고    scopus 로고
    • Classification of linear and non-linear modulations using the Baum-Welch algorithm and MCMC methods
    • A. Puengnim, N. Thomas, J. Tourneret, and J. Vidal Classification of linear and non-linear modulations using the Baum-Welch algorithm and MCMC methods Signal Processing 90 12 2010 3242 3255
    • (2010) Signal Processing , vol.90 , Issue.12 , pp. 3242-3255
    • Puengnim, A.1    Thomas, N.2    Tourneret, J.3    Vidal, J.4
  • 14
    • 77956921245 scopus 로고    scopus 로고
    • Automatic modulation classification methods for wireless OFDM systems in TDD mode
    • L. Haring, Y. Chen, and A. Czylwik Automatic modulation classification methods for wireless OFDM systems in TDD mode IEEE Transactions on Communications 58 9 2010 2480 2485
    • (2010) IEEE Transactions on Communications , vol.58 , Issue.9 , pp. 2480-2485
    • Haring, L.1    Chen, Y.2    Czylwik, A.3
  • 15
    • 84859987218 scopus 로고    scopus 로고
    • Automatic modulation identification based on the probability density function of signal phase
    • Q. Shi, and Y. Karasawa Automatic modulation identification based on the probability density function of signal phase IEEE Transactions on Communications 60 4 2012 1 5
    • (2012) IEEE Transactions on Communications , vol.60 , Issue.4 , pp. 1-5
    • Shi, Q.1    Karasawa, Y.2
  • 16
    • 40049086192 scopus 로고    scopus 로고
    • Semi-blind algorithms for automatic classification of digital modulation schemes
    • DOI 10.1016/j.dsp.2007.02.007, PII S1051200407000279
    • M.L.D. Wong, and A.K. Nandi Semi-blind algorithms for automatic classification of digital modulation schemes Digital Signal Processing 18 2 2008 209 227 (Pubitemid 351324134)
    • (2008) Digital Signal Processing: A Review Journal , vol.18 , Issue.2 , pp. 209-227
    • Wong, M.L.D.1    Nandi, A.K.2
  • 17
    • 77952268955 scopus 로고    scopus 로고
    • Software-defined radio equipped with rapid modulation recognition
    • J.L. Xu, W. Su, and M. Zhou Software-defined radio equipped with rapid modulation recognition IEEE Transactions on Vehicular Technology 59 4 2010 1659 1667
    • (2010) IEEE Transactions on Vehicular Technology , vol.59 , Issue.4 , pp. 1659-1667
    • Xu, J.L.1    Su, W.2    Zhou, M.3
  • 18
    • 77956195315 scopus 로고    scopus 로고
    • Fast and robust modulation classification via Kolmogorov-Smirnov test
    • F. Wang, and X. Wang Fast and robust modulation classification via Kolmogorov-Smirnov test IEEE Transactions on Communications 58 8 2010 2324 2332
    • (2010) IEEE Transactions on Communications , vol.58 , Issue.8 , pp. 2324-2332
    • Wang, F.1    Wang, X.2
  • 20
    • 79956190248 scopus 로고    scopus 로고
    • Computationally efficient modulation level classification based on probability distribution distance functions
    • P. Urriza, E. Rebeiz, P. Pawelczak, and D. Cabric Computationally efficient modulation level classification based on probability distribution distance functions IEEE Communications Letters 15 5 2011 476 478
    • (2011) IEEE Communications Letters , vol.15 , Issue.5 , pp. 476-478
    • Urriza, P.1    Rebeiz, E.2    Pawelczak, P.3    Cabric, D.4
  • 21
    • 0030649673 scopus 로고    scopus 로고
    • Modulation recognition using artificial neural networks
    • PII S016516849600165X
    • E.E. Azzouz, and A.K. Nandi Modulation recognition using artificial neural networks Signal Processing 56 2 1997 165 175 (Pubitemid 127403978)
    • (1997) Signal Processing , vol.56 , Issue.2 , pp. 165-175
    • Nandi, A.K.1    Azzouz, E.E.2
  • 22
    • 56349116904 scopus 로고    scopus 로고
    • Selecting of the optimal feature subset and kernel parameters in digital modulation classification by using hybrid genetic algorithm-support vector machines HGASVM
    • E. Avci Selecting of the optimal feature subset and kernel parameters in digital modulation classification by using hybrid genetic algorithm-support vector machines HGASVM Expert Systems with Applications 36 2 2009 1391 1402
    • (2009) Expert Systems with Applications , vol.36 , Issue.2 , pp. 1391-1402
    • Avci, E.1
  • 23
    • 0347985151 scopus 로고    scopus 로고
    • Automatic digital modulation recognition using artificial neural network and genetic algorithm
    • M.L.D. Wong, and A.K. Nandi Automatic digital modulation recognition using artificial neural network and genetic algorithm Signal Processing 84 2 2004 351 365
    • (2004) Signal Processing , vol.84 , Issue.2 , pp. 351-365
    • Wong, M.L.D.1    Nandi, A.K.2
  • 24
    • 84865418619 scopus 로고    scopus 로고
    • Automatic modulation classification using combination of genetic programming and KNN
    • M.W. Aslam, Z. Zhu, and A.K. Nandi Automatic modulation classification using combination of genetic programming and KNN IEEE Transactions on Wireless Communications 11 8 2012 2742 2750
    • (2012) IEEE Transactions on Wireless Communications , vol.11 , Issue.8 , pp. 2742-2750
    • Aslam, M.W.1    Zhu, Z.2    Nandi, A.K.3
  • 25
    • 0000021931 scopus 로고
    • The joint estimation of signal and noise from the sum envelope
    • T.R. Benedict, and T.T. Soong The joint estimation of signal and noise from the sum envelope IEEE Transactions on Information Theory 13 3 1967 447 454
    • (1967) IEEE Transactions on Information Theory , vol.13 , Issue.3 , pp. 447-454
    • Benedict, T.R.1    Soong, T.T.2
  • 27
    • 14844345100 scopus 로고    scopus 로고
    • SNR estimation for nonconstant modulus constellations
    • DOI 10.1109/TSP.2004.842175
    • P. Gao, and C. Tepedelenlioglu SNR estimation for nonconstant modulus constellations IEEE Transactions on Signal Processing 53 3 2005 865 870 (Pubitemid 40351709)
    • (2005) IEEE Transactions on Signal Processing , vol.53 , Issue.3 , pp. 865-870
    • Gao, P.1    Tepedelenlioglu, C.2
  • 28
    • 0032675191 scopus 로고    scopus 로고
    • Blind separation of independent sources for virtually any source probability density function
    • V. Zarzoso, and A. Nandi Blind separation of independent sources for virtually any source probability density function IEEE Transactions on Signal Processing 47 9 1999 2419 2432
    • (1999) IEEE Transactions on Signal Processing , vol.47 , Issue.9 , pp. 2419-2432
    • Zarzoso, V.1    Nandi, A.2
  • 31


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.