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确定性理论在雷达型号识别中的应用 总被引:1,自引:0,他引:1
雷达型号识别是雷达对抗情报侦察的首要工作,是近一步分析雷达用途及相关武器系统的基础,也是高层次上的态势评估和威胁估计的主要依据.针对现代战争中电磁信号环境的复杂性,利用单一传感器很难对雷达型号进行准确识别,而基于确定性理论的不确定推理技术能将多个传感器在多个周期的侦察信息进行融合,所以采用确定性理论的数据融合技术,基于确定性理论的组合规则,采用分层式融合算法对雷达型号进行识别.仿真结果表明,该方法的识别结果令人满意,使采用单一传感器可能存在的无法识别或误识别等现象得到了明显的改善. 相似文献
238.
防空武器系统生存能力评价 总被引:1,自引:0,他引:1
分析了现代战场环境条件下影响防空武器系统生存能力的主要因素,建立了一个防空武器系统生存能力评价的指标体系,给出了各级分指标的量化评价思路和方法,采用加权算术平均法和加权几何平均法进行指标综合.提供了一个生存能力快速量化评价的实用模型. 相似文献
239.
《防务技术》2020,16(2):401-407
The measurement and control of high temperature play very important roles in national defense, military, scientific experiments, industrial and agricultural production. Photoelectric pyrometer is one of the important radiation thermometers for non-contact temperature measurement. It has an important application in the field of high temperature measurement, and its performance directly affects the accuracy of temperature measurement. By improving the design of the detection optical system of the photoelectric pyrometer, the imaging performance of the photoelectric pyrometer can be improved effectively, and the temperature measurement accuracy can be improved. In this paper, the temperature measurement principle of photoelectric pyrometer, the working principle of the detection optical system and the composition of the system are introduced. The optical components that affect the imaging of the optical system of the photoelectric pyrometer are analyzed. The optical pyrometer detection optical system is simulated by ZEMAX software, based on the analysis results, the Modulation Transfer Function (MTF) and the spot Diagram are used as the main evaluation criteria to optimize the design of the objective lens of the photoelectric pyrometer detection optical system. The imaging performance of the photoelectric pyrometer detection optical system and the accuracy of temperature measurement of the photoelectric pyrometer are improved by optimization design of the detection optical system. 相似文献
240.
In this paper, a condition-based maintenance model for a multi-unit production system is proposed and analyzed using Markov renewal theory. The units of the system are subject to gradual deterioration, and the gradual deterioration process of each unit is described by a three-state continuous time homogeneous Markov chain with two working states and a failure state. The production rate of the system is influenced by the deterioration process and the demand is constant. The states of the units are observable through regular inspections and the decision to perform maintenance depends on the number of units in each state. The objective is to obtain the steady-state characteristics and the formula for the long-run average cost for the controlled system. The optimal policy is obtained using a dynamic programming algorithm. The result is validated using a semi-Markov decision process formulation and the policy iteration algorithm. Moreover, an analytical expression is obtained for the calculation of the mean time to initiate maintenance using the first passage time theory. 相似文献