Development and Implementation of a Feature-Based Automatic Classification Algorithm for Communication Standards in the 868 MHz Band
Wireless communication systems used for home automation applications in Europe suffer from the recurring standardization problem. Devices from different manufacturers often use different and incompatible protocol waveforms for communication. In this paper, the authors present the development and the implementation of a feature-based automatic classification algorithm for communication standards that are commonly used in the European 868 MHz Short Range Device (SRD) frequency band that can help to overcome this problem. The received signal is initially preprocessed and then fed to a feature extraction unit that calculates statistical parameters from the signal. Those features are then used by a classifier that is based on a simple binary decision tree.