Energy Signal Detector: Experimental Evaluation of Efficiency of Adaptation to Observation Conditions

The paper considers the structure of a portable or mobile energy signal detector using a detection threshold determination algorithm adaptive to the observation conditions to stabilize the false alarm probability under rapid changes in the signal-to-noise ratio (for example, caused by the readjusting the receiver parameters, external interference, etc.) [1]. The detector constructs a normalized histogram of background noise power distribution and calculates its parameters in real time. To ensure the required false alarm probability, triangular approximation is applied to the tail of the background noise distribution law with smoothing of the detection threshold estimates. The article presents the results of experimental studies of the noise power under different observation conditions. A comparative analysis of the false alarm and detection probabilities obtained using the Neyman−Pearson criterion and the adaptive detection threshold algorithm in the energy detector is carried out.