2009 · 74 citations · 12 references
EngineeringCommunicationElectrical EngineeringAntennasDigital CommunicationWireless CommunicationsChannel EstimationMaximum Likelihood EstimationMimo AntennasModulationSignal Detection TheoryWireless Channel ModelingBlind Channel EstimationChannel State InformationLikelihood Ratio TestsMaximum Likelihood Channel EstimationMaximum Likelihood InferenceModulation ClassificationModulation Recognition
The blind recognition of communication parameters is an important research topic in both commercial and civilian systems. In this paper, we investigate the blind recognition of the modulation. Currently most part of the existing algorithms assumes that the transmitter uses a single-antenna. This study extends the problem for multiple-antennas (MIMO) systems. We adopt a Maximum Likelihood approach for the blind recognition of the modulation and we consider two different situations. First, we assume the channel knowledge at the receiver side and we expose the optimal solution which is called Average Likelihood Ratio Test (ALRT). Then, we relax this assumption and we propose a second method based on a Hybrid Likelihood Ratio Test (HLRT).
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