RF Signal Source Target Detection Method Based on Monte Carlo Algorithm in Distributed Electromagnetic Spectrum Monitoring System

Abstract

In order to improve the blind localization accuracy of radio signal sources, this paper proposes a radio frequency (RF) signal source target localization method based on Monte Carlo algorithm. Combined with the free-space propagation loss characteristics of electromagnetic waves, real-time electromagnetic spectrum detection data based on distributed detection nodes are analyzed. Based on the spatial distribution of electromagnetic spectrum, the target location method of radio frequency signal source is studied. Distributed detection nodes detect electromagnetic spectrum data of the same radio frequency signal source target at different spatial locations. The Monte Carlo algorithm is used for the cooperative detection target localization method of the RF signal source. With the increase of random times, the estimation result with the smallest cumulative distance error is used as the estimation result of the target position of the radio frequency signal source. The measured data show that the method can improve the blind detection and positioning accuracy of radio signal sources in the target area.