战场目标识别中多传感器信息融合面临各种不确定冲突信息。为此,提出了一种基于权重的证据调整方法,给予证据分配不同的权重,重新修正基本概率分配函数,利用Dempster组合规则实现信息融合。通过数值验证并与其他的改进算法对比,结果更为理想,能有效的减小冲突证据的不良影响,同时具有较高的收敛速度,降低了决策风险,仿真结果表明,算法有效、可行。

In view of uncertain conflicting information confronted by multi-sensor information fusion in radar target recognition, a new weighted D-S combination rule was put forward, then the BPA was reallocated and Dumpster's rule was used to achieve information fusion. The more expected result data shows that, compared with other methods, this new algorithm can reduce harmful influence of conflict evidence effectively, at the same time, it has higher convergence rate and reduces decision risk. Our experiment shows that the solution is effective and feasible.