Threshold improvement method combining DSmT and DST
LIU Yong-kuo1,2,LING Shuang-han1
1. College of Nuclear Science and Technology, Harbin Engineering University, Harbin Helongjiang 150001, China 2. National Key Laboratory of Reactor System Design Technology, Nuclear Power Institute of China,Chengdu Sichuan 610041, China
[1]
衣晓,孙晓明,关欣,等.有效处理冲突证据的融合方法[J].清华大学学报:自然科学版,2009,49(1):138-141.
[2]
关欣,何友,孙晓明.一种冲突证据的融合方法[J].电子科技大学学报,2007,36(1):30-31.
[3]
邓勇,钟山,朱振福.基于证据理论的模糊信息融合及其在目标识别中的应用[J].航空学报,2005,26(6):754-758.
[4]
周宪英. DST与DSmT自适应融合门限研究[J]. 舰船电子工程,2009,29(12):128-129.
[5]
SMARANDACHE F, DEZERT J. Advances and applications of DSmT for information fusion[M]. Rehoboth: American Research Press, 2004:76-78.
[6]
何友,王国宏.多传感器信息融合及应用[M].北京:电子工业出版社,2007:33-38.
[7]
侯俊,潘泉,苗壮.DST与DSmT自适应融合算法[J].微电子学与计算机,2006,23(10):150-152.
[8]
胡丽芳,关欣,何友.基于DSmT的多传感器目标识别[J].弹箭与制导学报,2008,28(2):186-188.