Weighted K-means clustering subarray design method for large planar monopulse antenna array

Wen Xi, Xiaopeng Yang, Yuze Sun, Teng Long

科研成果: 书/报告/会议事项章节会议稿件同行评审

2 引用 (Scopus)

摘要

Subarray design is widely applied in large planar array monopulse system to synthesize optimal sum and difference patterns at a low system cost. Based on the excitation matching principle, subarray design can be formulated as a clustering problem which can be solved by K-means clustering method. When the elements are weighted uniformly, K-means clustering method can provide the optimal beam pattern synthesis performance. However, the performance will deteriorate when the elements are weighted non-uniformly. Therefore, a weighted K-means clustering method is proposed in this paper to improve the beam pattern synthesis performance for non-uniform element weights. The effectiveness of the proposed method is verified by numerical simulations.

源语言英语
主期刊名2015 IEEE International Radar Conference, RadarCon 2015
出版商Institute of Electrical and Electronics Engineers Inc.
1564-1568
页数5
版本June
ISBN(电子版)9781479982325
DOI
出版状态已出版 - 22 6月 2015
活动2015 IEEE International Radar Conference, RadarCon 2015 - Arlington, 美国
期限: 10 5月 201515 5月 2015

出版系列

姓名IEEE National Radar Conference - Proceedings
编号June
2015-June
ISSN(印刷版)1097-5659

会议

会议2015 IEEE International Radar Conference, RadarCon 2015
国家/地区美国
Arlington
时期10/05/1515/05/15

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