...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Selected Topics in Signal Processing, IEEE Journal of >Optimization of Subarray Partition for Large Planar Phased Array Radar Based on Weighted K-Means Clustering Method
【24h】

Optimization of Subarray Partition for Large Planar Phased Array Radar Based on Weighted K-Means Clustering Method

机译：基于加权K-均值聚类的大型飞机相控阵雷达子阵划分优化

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Subarray partition is indispensable in large phased array radar system for reducing the manufacturing cost as well as realizing the system potentiality. The optimization of subarray partition for large planar phased array radar according to weighted K-means clustering method is mainly investigated in this paper. Based on the excitation matching technique, the optimization of subarray partition in monopulse application can be reformulated as a clustering of reference gain ratios to minimize the excitation matching error. However, when the element weights are non-uniform for specific intentions such as low sidelobes, the matching error could not be minimized completely by traditional K-means clustering. Therefore, in this paper, a weighted K-means clustering method is proposed to reduce the matching error by modifying the membership rule and cluster center of K-means clustering. The proposed method can provide smaller matching error compared with conventional clustering methods, especially when the elements are weighted non-uniformly. The effectiveness of proposed method is validated by numerical simulations and compared with several classical clustering methods.
机译：在大相控阵雷达系统中，子阵列划分是必不可少的，以降低制造成本并实现系统潜力。本文主要研究基于加权K-均值聚类的大型平面相控阵雷达子阵划分优化。基于激励匹配技术，可以将单脉冲应用中子阵列划分的优化重新设计为参考增益比的聚类，以最小化激励匹配误差。然而，当元素权重对于诸如低旁瓣的特定意图而言是不均匀的时，传统的K均值聚类无法完全使匹配误差最小化。因此，本文提出了一种加权的K均值聚类方法，通过修改K均值聚类的隶属度规则和聚类中心来减少匹配误差。与传统的聚类方法相比，所提出的方法可以提供较小的匹配误差，尤其是当元素的加权不均匀时。通过数值仿真验证了所提方法的有效性，并与几种经典聚类方法进行了比较。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号