FAST MODULATION RECOGNITION METHOD FOR MULTILAYER PERCEPTRON BASED ON MULTIMODALLY-DISTRIBUTED TEST DATA FUSION
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United States of America
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Jan 13, 2022
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Aug 20, 2020
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Aug 20, 2020
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Abstract
The present invention discloses a fast modulation recognition method for a multilayer perceptron (MLP) based on multimodally-distributed test data fusion. The method sequentially includes: preprocessing a received signal, obtaining a signal feature sequence, generating a matrix of decision statistics data *hj−, generating an MLP an input feature by fusing the decision statistics data, recognizing a modulation mode by using the MLP, and matching an output with a corresponding classification label. The present invention has a low algorithm complexity as compared with a classical likelihood algorithm, and at the same time improves the recognition precision of a single distribution test algorithm.
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