Phantom excludability algorithm based on speciality of sensor and target

摘要

A new phantom excludability algorithm based on speciality of sensor and target was proposed in this paper in order to exclude the false intersection points on direction finding process for emitting lines in passive cross location. Firstly, deduce the correlation stretch angle, candidate observation set and effective observation set with maximum detection range of each sensor, relative location of sensors and the target's specialities, then a credible range about angle correlation is presented. Secondly, find the location point set based on the base-line least distance algorithm. Simulation results validated the new disposal method of these two steps, not only the frequency of the correlation was decreased sharply, but also the probability of correct correlation and the real-time performance of the system were improved greatly.