水下目标识别的规划融合算法  

Programming Fusion Algorithm for Submarine Target Recognition

作　　者：刘标 许腾[1] 刘树锋 LIU Biao;XU Teng;LIU Shu-feng(Naval Command College,Jiangsu Nanjing 210016,China;Naval Petty Officer Academy,Anhui Bengbu 233012,China;PLA,No.94908Troop,Fujian Xiamen 361000,China)

机构地区：[1]海军指挥学院 [2]海军士官学校 [3]中国人民解放军94908部队

出　　处：《现代防御技术》2018年第6期64-67,79,共5页Modern Defence Technology

摘　　要：多传感器数据融合技术已经成为水下目标识别中的一项关键技术,以传感器输出数据为基础,提出了一种新的水下目标识别的规划融合算法,并通过举例进行了说明,最后使用Lingo软件对模型进行了求解,得出了最优结果。该算法可以有效地提高水下目标识别的准确率和可靠性。Multi sensor data fusion has become one of the critical technologies for submarine target recognition.Based on the sensor report,brings forward a programming fusion algorithm for submarine target recognition,and gives an example for illustration.The optimized solution is obtained from the lingo software.The algorithm makes the recognition more accurate and more reliable.

关 键 词：水下目标识别 多传感器 决策级融合 规划融合 识别概率 理想识别值 

分 类 号：TN971[电子电信—信号与信息处理] TP212.9[电子电信—信息与通信工程]