Bayesian detection of radio transmitter turn-on transients

This paper describes an implementation of Bayesian change point detection for extracting transients captured from radio transmitter transmissions. When a radio transmitter is activated, it goes through a relatively short transient phase during which the signals generated by the unit have characteristics that can be unique. If these turnon transients can be separated, they can be analyzed to identify the radio transmitter. In this study, radio transmissions from 30 different radio transmitters were analyzed by using an experimental setup. The estimated transient starting point is compared to the visually observed starting point. The probabilistic automatic segmentation algorithm has been found to be effective in detecting turn-on transients in the presence of noise.