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基于最小熵准则的雷达网信号增强

Enhancing netted radar data based on entropy minimization principle
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摘要 采用最小熵准则对雷达网的数据进行融合。通过对点目标的研究,推导出了最小熵准则和最大信噪比准则对雷达网数据融合的效果是一致的。但对于复杂目标,很难计算出采用最大信噪比准则所需要的累加权,因此将最小熵准则应用到复杂目标的数据融合中,并采用迭代方法计算了累加权。 A technique based on entropy minimization principle is developed for fusing netted radar data. It is proved that entropy minimization principle and SNR maximization principle are consistent when used in point radar target. However, the entropy minimization principle is more suitable for a complex radar target, and the weights are calculated iteratively. In this aspect, the weights of SNR maximization principle cannot be calculated easily.
出处 《系统工程与电子技术》 EI CSCD 北大核心 2005年第5期777-778,941,共3页 Systems Engineering and Electronics
关键词 雷达网 融合 信噪比 entropy netted radar fusion SNR
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