计算机工程与应用2013，Vol.49Issue(5)：23-26,4.DOI:10.3778/j.issn.1002-8331.1207-0307
主被动传感器自适应量测融合算法
Adaptive measurement fusion algorithm for active and passive sensors
摘要
Abstract
To the influence of distance between observation station and target on tracking performance, a measurement fusion algorithm based on fuzzy distance threshold for active and passive sensors is introduced to the target tracking system. The method choosing data fusion module based on distance parameter is discussed, and exponential functions and fuzzy processing are used to compute real-time weight of each sensor in measurement fusion process through priori knowledge. Simulation shows that the adaptive measurement fusion algorithm is more stable and can bring all complementary characteristic into full play of active and passive sensors compared to traditional invariable-weight method when random errors caused by target distance cannot be ignored.关键词
量测融合/距离阈值/主被动传感器/模糊处理/变权重Key words
measurement fusion/distance threshold/active and passive sensors/fuzzy processing/variable-weight分类
信息技术与安全科学引用本文复制引用
崔波,张家树..主被动传感器自适应量测融合算法[J].计算机工程与应用,2013,49(5):23-26,4.基金项目
国家自然科学基金(No.60971104) （No.60971104）
西南交通大学百人计划项目(No.SWJTU11BR179). （No.SWJTU11BR179）
