Markov Model Characterization of a Multicarrier Narrowband Powerline Channel With Memory in an Underground Mining Environment

The error distribution of multicarrier modulation in a narrowband powerline communication (PLC) channel with memory is presented for an underground mining environment. In the environment, noise PLC originates from mains switchboard and blast control unit, connected to link. Using vectors measured channel, model obtained by training data using hidden Markov Fritchman state classification. modeled considering transition probabilities between current one previous channel. are then compared order determine suitability derived models. error-free run data, match validating models