Adaptive fusion algorithm for multiple passive sensor tracking

Zhen Ding, Quan Pan, Hongcai Zhang, Guanzhong Dai

科研成果: 期刊稿件文章同行评审

摘要

Single sensor tracking algorithms have four disadvantages: (1) bad stability, (2) long settling time, (3) big bias and (4) susceptibility to initial conditions. The corresponding fusion using the information results of each sensor limits the improvements and consumes excessive computation and communication resources. This paper presents a new fusion structure of multiple stations. First, multiple two stations was used to improve the performance, and then it was used to fuse and make pseudo measurements adaptive. Finally, the fusion results were returned to the multiple two stations. The formulas for this new fusion structure were derived. These formulas make the algorithm converge very quickly and not susceptible to initial conditions. Simulation results show the effectiveness of the new algorithm.

源语言英语
页(从-至)570-574
页数5
期刊Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University
15
4
出版状态已出版 - 1997

指纹

探究 'Adaptive fusion algorithm for multiple passive sensor tracking' 的科研主题。它们共同构成独一无二的指纹。

引用此