Adaptive Demodulation Techniques for Next Generation Software ...

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Higher-order Transform of Constellationsc20c21c40c41c42c60c61c62c63c80c81c82c83c84QPSKPSK8PSK16V29-8 and V29-16 constellationsQAM16QAM64QAM32QAM4-12QAM16-16QAM44-20The 4th order constellations
Mr k2 nd order1 st orderHigher-order StatisticalFeaturesPower-law:r 4 ( k )4 th orderdominantpoints4 th order transformation of QPSKG(Hi| rK) =K M⎧i1 ( i)⎨ ∑ pj( rk)= ⎩M= ⎭ ⎬⎫1 i j 1∏k2 nd orderMoment:mK440= ∑ r ( k)k = 1Cumulant:C240= m40− 3m20QI4 th order transformation of QAM16
Page 3 and 4: Modulation ClassifierFrom: http://w
Page 5 and 6: Modulation ClassificationSNR Estima
Page 7 and 8: 1 2 34 5 67 8 901 2 34 5 67 8 90SDR
Page 9: Feature Extraction: Amplitude,Diffe
Page 13 and 14: Cyclic Spectral AnalysisBasebandRax
Page 15 and 16: ALRT1M i∑p( i)jMi j=1( i)p j( rk)
Page 17 and 18: Research on Adaptive ModulationBase
Page 19 and 20: Deference Between Military andComme
Page 21 and 22: Adaptive Receiver - Ishii et al.‣
Page 23 and 24: Research of Menguc and Jondral (1)A
Page 25 and 26: Research of Simon and Divsalar (1)D
Page 27 and 28: Other Research Results on Modulatio
Page 29 and 30: Summary‣ Adaptive modulation is n

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