Adaptive Demodulation Techniques for Next Generation Software ...

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RF signalNoise PowerEstimationQuantization andAddress MappingNormalizationLook UpTableDecisionProcessConfidenceCheckEstimated ModulationSchemeChoose DemodulatorBandPassFilterPulse Timing andMatched FilteringDelayerDemodulationProcessReal-timeDataOutputLocalOscillatorCarrier and CarrierPhase Tracking
Summary‣ Adaptive modulation is not only an importantinformation warfare practice but also an effective toolto maximize the data capacity and minimize thetransmission error in SDR applications.‣ Automated modulation classification is a solution inhandling the non-cooperative communicationproblem for SDR.‣ Blind estimation of modulation parameters such ascenter frequency offset, carrier phase, pulse shape,symbol rate, and bandwidth is critical to therobustness of modulation classification.‣ A good modulation classifier should be able toidentify modulation scheme fast and robust.
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 and 10: Feature Extraction: Amplitude,Diffe
Page 11 and 12: Mr k2 nd order1 st orderHigher-orde
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: Other Research Results on Modulatio

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