Radar/ESM track robust association method based on hierarchical clustering

• Main Authors: XU CONG'AN, DONG KAI, SUN SHUN, TAN DANING, GUO CHEN, LIU YU, DING ZIRAN
• Format: Patent
• Language: Chinese; English
• Published: 04.08.2020
• Subjects: ANALOGOUS ARRANGEMENTS USING OTHER WAVES; CALCULATING; COMPUTING; COUNTING; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; HANDLING RECORD CARRIERS; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION ORRERADIATION OF RADIO WAVES; MEASURING; PHYSICS; PRESENTATION OF DATA; RADIO DIRECTION-FINDING; RADIO NAVIGATION; RECOGNITION OF DATA; RECORD CARRIERS; TESTING

The invention belongs to a track association technology in the field of target tracking, and provides a track robust association method based on hierarchical clustering analysis in order to solve a problem of radar/ESM track association with a system deviation. The method is characterized by considering the influence of formation and the system deviation on track association; clustering distance vectors in corrected polar coordinates by using a hierarchical clustering method; obtaining relative azimuth deviation estimation expectation between the radar and the ESM; and acquiring a radar/ESM track robust association result by using a method based on global optimal association judgment and hypothesis testing. Radar/ESM track association accuracy under the condition of the system deviation iseffectively improved, and the method is suitable for the condition that the distance between the radar and the ESM is far smaller than the distance between a sensor and a target. 本发明属于目标跟踪领域中的航迹关联技术，针对存在系统偏差的雷达/ESM航迹关联问题，提出了