摘要： 通过构造凸二次型函数的方法将多源信息融合问题转化成一般的二次优化问题(Quadratic Optimization)（相对于线性优化），并通过实例与多源信息融合中传统DS理论的融合结果相比较，表明算法不仅是有效的，而且在某些方面较之传统DS证据理论有许多突出的优点。

关键词: 多传感器, 数据融合, DS理论, 二次优化

Abstract: A convex quadratic function is constructed to transform multi-sensor data fusion into common quadratic optmization problem in contrast to linearity optimization problem. The results show that such method is effective,also it has some attractive strongpoint that the traditional DS doesn't have.

中图分类号: 

• TP212