CAJ | 학술논문

信息融合系统可以产生比系统中任一单元更有效、更精确的身份判决结果。在归纳了国内外敌我识别的方法后,提出一种将并行的自适应神经网络-模糊推理系统（ANFIS）、模糊理论以及D-S证据理论相结合的算法,并应用于雷达与IFF的数据融合中,实现空中目标的敌我识别。同时,由于要进行的是动目标识别,提出了利用多次测量数据模拟多传感器的方法来实现多次融合,仿真结果表明,该方法提高了身份判决的置信度,融合结果更加合理。
신식융합계통가이산생비계통중임일단원경유효、경정학적신빈판결결과。재귀납료국내외활아식별적방법후,제출일충장병행적자괄응신경망락-모호추리계통（ANFIS）、모호이론이급D-S증거이론상결합적산법,병응용우뢰체여IFF적수거융합중,실현공중목표적활아식별。동시,유우요진행적시동목표식별,제출료이용다차측량수거모의다전감기적방법래실현다차융합,방진결과표명,해방법제고료신빈판결적치신도,융합결과경가합리。
Information fusion system can make a more accurate and potent identity＇s estimation than any single source in a system.Making a survey of the research on this issue,a hybrid algorithm based on adaptive neural network-fuzzy inference system（ANFIS）,fuzzy theory and D-S evidence theory is proposed.At the same time this algorithm is applied to data fusion of radar and IFF to realize the identification of air-target＇s friend or foe.Due to the recognition of moving target,using multi-measured data to simulate multi-sensor is proposed.The simulation results show that the degree of confidence is increased,furthermore the fusion result is more reasonable.