关键词: 多传感器, 数据融合, 主成分分析, Fisher判别

Abstract: Aiming at the target recognition problem of multisensor with multiple characteristic indexes, a new fusion method was proposed combining Fisher discrimination and principle component. The method merged the number of discrimination functions to reduce the workload of recognition, and utilized the theory of Fisher discrimination to recognize targets. It is very suitable for the recognition of multitargets, very simple to compute, and can be performed on computer easily. The applied example proves that the method is effective.

Key words: multi-sensors, data fusion, principle component analysis, Fisher discrimination