基于模糊云模型的雷达抗干扰智能化水平评估方法研究

Research on Intelligent Level Evaluation Method of Radar Anti-jamming Based on Fuzzy Cloud Model

摘要:

雷达抗干扰智能化水平评估是推动智能抗干扰技术进步的重要环节，过去聚焦于传统抗干扰效能指标的评估方法未充分考虑智能性特征，不适用于智能水平评估；在分析抗干扰智能特征的基础上，针对雷达缺少智能性评估标准和指标的问题，提出了能表征其智能水平的等级与指标体系，并定义了指标的计算方法；为克服因认知差异导致的评估结果偏差问题，提出了基于模糊云模型的定量评估方法；并综合指标赋权等内容建立了评估方案；仿真结果表明，该方案的评估结果与专家定性评价结果一致，所提指标体系与评估方法更符合人的主观认知逻辑，可为雷达抗干扰智能水平评估的研究提供一定的借鉴。

Abstract:

The evaluation of radar anti-jamming intelligence level is an important link to promote the progress of intelligent anti-jamming technology, in the past, the evaluation focused on traditional anti-jamming performance indicators and did not fully consider the intelligent features, which is not suitable for intelligent level evaluation; On the basis of analyzing the characteristics of anti-interference intelligence, aiming at the problem that radar lacks intelligence evaluation standard and index, the grade and index system which can represent its intelligence level were put forward, and the calculation method of index was defined; To overcome the problem of evaluation result deviation caused by cognitive differences, a quantitative evaluation method based on the fuzzy cloud model was proposed; And an evaluation scheme was established by integrating index weighting and other contents; The simulation results show that the evaluation results of this scheme are consistent with the expert qualitative evaluation results. The proposed index system and evaluation method are more in line with human subjective cognitive logic and can provide certain references for the research on the evaluation of radar anti-jamming intelligence.