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首页> 外文期刊>The Journal of Engineering >Weight empowerment method in information fusion for radar-seeker performance evaluation
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Weight empowerment method in information fusion for radar-seeker performance evaluation

机译:雷达寻求绩效评估信息融合中的重量赋权方法

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摘要

With the continuous development of radar terminal guidance technology, the evaluation of the performance of a radar seeker has become a very necessary and important system subject. Rationally allocating the index weight has always been an important spot in the research of performance evaluation. For this problem, a new method based on importance level to allocate the index weights is proposed, which can both reflect the subjective opinion of an expert and the objective facts. Second, rather than evaluate radar seeker performance in simulation test and outfield experiment, respectively, information fusion is applied to evaluate the radar performance instead of serial-phased scheme which takes advantage of both infield simulated and outfield measured data. Furthermore, a model was proposed to calculate the weights of each information element in the information-fusion stage. Considering that the performance evaluation of a radar seeker involves many experimental stages, information fusion which can make full use of the multi-source test information can help to obtain more accurate and reliable evaluation conclusion. Both the theoretical analysis and experimental results prove the effectiveness and efficiency of the proposed method.
机译:随着雷达终端引导技术的不断发展,雷达寻求者性能的评价已成为一个非常必要和重要的系统主题。合理分配指数重量一直是绩效评估研究的重要位置。对于这个问题,提出了一种基于重要性级别来分配索引权重的新方法,可以反映专家和客观事实的主观意见。其次,而不是评估仿真试验和外场实验中的雷达寻求者性能,而是应用信息融合来评估雷达性能而不是串行相控方案,该方案利用infield模拟和外场测量数据。此外,提出了一种模型来计算信息融合阶段中的每个信息元素的权重。考虑到雷达导引头的绩效评估涉及许多实验阶段,信息融合可以充分利用多源测试信息可以有助于获得更准确和可靠的评估结论。理论分析和实验结果都证明了所提出的方法的有效性和效率。

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