The research of radar tracking systems by using multiple observations

• Main Author: 陳政斌
• Other Authors: 鍾翼能
• Format: Others
• Language: zh-TW
• Published: 2004
• Online Access: http://ndltd.ncl.edu.tw/handle/94139163320671084363

碩士 === 大葉大學 === 電機工程學系碩士班 === 92 === In the multi-target tracking systems, there are many disturbances from the outside environments to influence the estimated correctness. Moreover, when radar systems detect a large area and only use single sensor, it needs longer sampling interval to execute the tracking process and it may lost some data. Therefore, it is important to design a new structure of the radar systems to enhance the system performance. In this thesis, a mutiple sensor fusion algorithm is proposed to improve the tracking capability. This improved filter constructs of the Kalman filter and the adaptive procedure, and integrates some related techniques included one-step conditional maximum likelihood, recursive computation method, and multi-observation. By this way, we can diminish the errors resulted from producing maneuvering targets, then, the systems will get the better tracking results. Keywords: Radar systems, multiple sensor fusion algorithm, multi-observation.