Method and system for identifying wireless channel based on hidden Markov model
A hidden Markov and wireless channel technology, applied in transmission systems, transmission monitoring, electrical components, etc., can solve problems such as high algorithm complexity and inability to estimate unknown models, so as to improve transmission stability and optimize wireless signal transmission Effect
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[0096] This embodiment focuses on the process of training the hidden Markov model and using the trained model to identify the wireless channel, such as image 3 As shown, the data sources of the training set used to train the hidden Markov model are wireless channels of multiple known scenarios. First, the test data packets of the wireless channel are preprocessed. The purpose of preprocessing is to reduce noise interference. After preprocessing, the 4-dimensional feature vector is extracted; then, after initializing the HMM model, the extracted 4-dimensional feature vector is used as the input of the HMM model, and the Baum-Welch training algorithm is used to train the HMM model to solve the problem for each known scene. Model parameters.
[0097] The data source of the test set used for unknown channel identification based on the trained hidden Markov model is the wireless channel of the unknown scene to be tested. Similarly, the test data packets of the wireless channel are...
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