CAJ | 학술논문

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。
전장목표식별중다전감기신식융합면림각충불학정충돌신식。위차，제출료일충기우권중적증거조정방법，급여증거분배불동적권중，중신수정기본개솔분배함수，이용Dempster조합규칙실현신식융합。통과수치험증병여기타적개진산법대비，결과경위이상，능유효적감소충돌증거적불량영향，동시구유교고적수렴속도，강저료결책풍험，방진결과표명，산법유효、가행。
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 evi-dence effectively, at the same time, it has higher convergence rate and reduces decision risk. Our experiment shows that the solution is ef-fective and feasible.