CAJ | 학술논문

采用多传感器测量某一观测值时，对测量值进行融合处理，可以实现比较准确的估计，从而做出正确的决策。但是，测量值中存在的恶劣异常值，而直接剔除异常值会损害融合算法。针对这两点提出了基于修正狄克逊准则的多传感融合算法，该算法不但有效地去除恶劣异常值，而且保证了融合算法的可行性。它不但在理论上得到论证，而且实例仿真分析也证明其效果显著，可以有效地控制被控对象，提高了系统的控制精度和准确性。
채용다전감기측량모일관측치시，대측량치진행융합처리，가이실현비교준학적고계，종이주출정학적결책。단시，측량치중존재적악렬이상치，이직접척제이상치회손해융합산법。침대저량점제출료기우수정적극손준칙적다전감융합산법，해산법불단유효지거제악렬이상치，이차보증료융합산법적가행성。타불단재이론상득도론증，이차실례방진분석야증명기효과현저，가이유효지공제피공대상，제고료계통적공제정도화준학성。
Wiht multiple sensors to measure an observed value, fusion processing should be usually done on the measured value, thus to achieve relatively precise estimation and rational decision. However, in meas-ured value always exists some malicious abnormal value, and direct eliminaton of abnormal value would damage fusion algorithm. Aiming at these two points and based on modified Dixon criterion, a multi-sen-sor fusion algorithm is proposed, which could effectively remove malicious abnormal value and ensure the feasibility of fusion algorithm. This algorithm is verified both by theory and simulation. The proposed algo-rithm can effectively control objects and improve the precision and accuracy of system.