水面无人艇编队自主式协同联合作战是未来海军作战的主流趋势和新型样式。无人艇编队中用于电子战、通信、导航、警戒、态势感知的传感器种类和数量急剧增多，射频集成度也越来越高，迫使水面无人艇雷达电磁环境与单艘艇相比复杂度更高。本文提出一种水面无人艇雷达电磁环境新型预测方法，构建雷达电磁环境综合场强及其功率密度、主波束辐照叠加空间的数学模型，并设计开发了水面无人艇雷达电磁环境综合场预测计算程序。研究结果表明，水面无人艇编队雷达电磁环境综合场功率密度随着天线辐射功率、增益、无人艇数量的增加而增大,随着艇间距的增大而减小。
Autonomous cooperative joint operation of surface unmanned maritime vehicle（UMV）formation is the main trend and new style of naval operations in the future. The types and number of sensors used in electronic warfare, communication, navigation, alert and stiuational awareness have increased rapidly in the formation of UMV, and the radio frequency integration has become increasingly high, forcing the radar electromagnetic environment（EME）among surface UMV to be more complex and hostile than that among a single vessel. In this paper, a new prediction method of radar EME for surface UMV is introduced in detail. Mathematical models of radar EME comprehensive field intensity, power density and main beam irradiation superposition space have been developed, from which a program of radar EME comprehensive field prediction for UMV is designed, which provides technical support for the electromagnetic environment assessment and conducts a foundation for the database construction technology of surface UMV formation. It can be concluded that the power density of the radar EME comprehensive field increases with the radiated power, the gain and the number of unmanned ships, but decreases as the distance between two warships.
2019,41(12): 99-102 收稿日期：2019-02-26
DOI：10.3404/j.issn.1672-7649.2019.12.020
分类号：TN136
作者简介：石昕阳(1985-),男,硕士,工程师,研究方向为复杂电磁环境效应预测仿真及测试验证
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