基于多源参数的小口径舰炮系统数据融合研究  

Study on Data Fusion of minor-caliber Naval Gun System Based on Multi Source Parameters

作　　者：夏铭禹 XIA Ming-Yu(92942 Unit,Beijing100084,China)

机构地区：[1]中国人民解放军92942部队,北京100084

出　　处：《机电产品开发与创新》2021年第4期119-121,137,共4页Development & Innovation of Machinery & Electrical Products

摘　　要：小口径舰炮系统是现代战争中阵地近防的重要手段,对阵地的安全具有重大意义。本文提出了基于BP神经网络与DS证据理论二次融合的多源数据融合方法。通过BP神经网络的方法消除外界环境因素对舰炮系统传感器的影响,并通过分析舰炮系统的DS证据理论决策方法去解决实际中舰炮监测系统中的不确定性与模糊性。本文对未来小口径舰炮系统的可靠性提高具有一定的引导意义。The minor-caliber naval gun system is an important means of position close defense in modern war,which is of great significance to position security.This paper proposes a multi-source data fusion method based on BP neural network and DS evidence theory.BP neural network is used to eliminate the influence of external environmental factors on the sensors of naval gun system,and the uncertainty and fuzziness in the actual naval gun monitoring system are solved by analyzing the DS evidence theory decision method of naval gun system.This paper has a certain guiding significance to improve the reliability of minor-caliber naval gun system in the future.

关 键 词：小口径舰炮 BP神经网络 DS证据理论 多源参数 

分 类 号：TM714[电气工程—电力系统及自动化]