An Improved Algorithm of Multiple Model Estimation for Radar Systems

• Main Authors: Chi-Hsian Chang, 張吉賢
• Other Authors: Yi-Nung Chung
• Format: Others
• Language: zh-TW
• Published: 2007
• Online Access: http://ndltd.ncl.edu.tw/handle/53647977322585702536

碩士 === 大葉大學 === 電機工程學系 === 95 === An improved algorithm for tracking multiple maneuvering targets using a new approach has been developed in this thesis. This algorithm is implemented with an adaptive filter consisting of a data association technique denoted 1-step conditional maximum likelihood together with a bank of Kalman filter as an adaptive maneuvering compensator. Via this approach both data association and target maneuvering problem can be solved simultaneously. Computer simulation results indicate that this approach successfully tracks multiple targets and has better performance also. Moreover, in order to verify such a tracking system is really improved. Detailed simulations of the multi-target tracking using several tracking algorithms for many situations are developed. Computer simulation results indicate that this approach successfully tracks multiple targets and have better performance also.