2023
DOI: 10.1007/978-981-19-9968-0_113
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Research on Location Algorithm of Mobile Network Based on Hidden Markov Model

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Cited by 4 publications
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“…7 , the invisible variable z in the figure is a hidden state in the Hidden Markov Model, and the number of states is denoted by N; y is the variable affected by the variable z and can be observed, and the number of states is recorded as M; the transition probability matrix between the implicit states z is , where ; the observation probability matrix from the hidden state Z to the observation state y is denoted as , where ; when t = 1 is the initial state, the initial state is , where . In general, a Hidden Markov Model can be succinctly represented by a triple ) [ 39 ].
Fig.
…”
Section: Modeling Of Over-the-horizon Potential Safety Threat Vehicle...mentioning
confidence: 99%
“…7 , the invisible variable z in the figure is a hidden state in the Hidden Markov Model, and the number of states is denoted by N; y is the variable affected by the variable z and can be observed, and the number of states is recorded as M; the transition probability matrix between the implicit states z is , where ; the observation probability matrix from the hidden state Z to the observation state y is denoted as , where ; when t = 1 is the initial state, the initial state is , where . In general, a Hidden Markov Model can be succinctly represented by a triple ) [ 39 ].
Fig.
…”
Section: Modeling Of Over-the-horizon Potential Safety Threat Vehicle...mentioning
confidence: 99%