Passive Bearing-Only Localization Research For Interference Source In The Radio Monitoring

In recent years, with the increasing of radio transmitting equipment and spectrum coverage density, it is more and more nervous for limited radio spectrum resource. As electromagnetic environment deteriorates further, all kinds of sudden interference can bring huge economic losses to users and even threat to national security. At present, the jamming signal has become a huge concern. Radio monitoring department how to quickly locate and eliminate interference source, to ensure a smooth radio communication is particularly important.The paper embraces localization of interference source in wireless. The major achievements include the following three aspects:1. Further discussed passive localization technologies and given multi-station bearing-only localization fundamental in two-dimensional space.2. Proposed a localization algorithm what is based on the azimuth and network topology. By introducing azimuth quality and monitoring expert experience for collected azimuth angle what eliminates, corrects. Original positioning points are divided into two categories, interference points and boundary points through probability method. Choose reasonable iteratively to locate the coordinates of interference source by Brown Least-square Triangle fundamental and network topology structure. Found the algorithm which haves higher accuracy than Brown Least-square Triangle Localization and Virtual Force Iterative Localization in the practical application.3. Used spheroid coordinates to locate interference source of long-distance transmission in the radio monitoring. Presented a localization algorithm which is based on the azimuth and double circles, the convex hull concept and properties are used for the three station positioning points on the spherical coordinate system. In addition, introducing two classical concepts in geometry, minimum inscribed circle and maximum boundary circle Centers of two circles for the convex hull are used to locate the interference signal source coordinates. We found the algorithm which has higher accuracy than Virtual Force Iterative Localization and the localization algorithm which is based on the azimuth and network topology in the practical application.