Single Platform Passive Location Algorithm Using Position Information and Azimuth

Abstract

With the continuous development of electronic countermeasures technology, how to achieve accurate and rapid target location in complex electromagnetic environment has outstanding application prospects and research value. The traditional active location technology requires the emission of electromagnetic waves outward, and the frequency band is relatively fixed and easy to be detected and tracked. Compared with active location methods, passive location technology does not emit electromagnetic waves, has a long range of action, strong anti-interference ability, and the ability to achieve the lobe-on-receive only, positioning and tracking of targets, which plays an important role in improving the survivability and combat capability of the system in the electronic countermeasures environment. Among them, the airborne single station passive location, due to its flexibility concealment and wide applicability to location scenes have become an important research direction in passive location. Based on the existing single platform passive location algorithms, this paper considers the combination of sliding time window algorithm and weighting to increase the confidence and real-time performance of long-distance ranging based on the azimuth and position obtained by a single observation station, so as to improve the positioning performance of the algorithm. Simulation experiments show that the proposed algorithm identifies the target position with an accuracy of more than 90% and can resist a certain degree of noise at the same time.