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

Wen Xi, Xiaopeng Yang, Yuze Sun, Teng Long

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2015 IEEE International Radar Conference, RadarCon 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1564-1568
Number of pages5
EditionJune
ISBN (Electronic)9781479982325
DOIs
Publication statusPublished - 22 Jun 2015
Event2015 IEEE International Radar Conference, RadarCon 2015 - Arlington, United States
Duration: 10 May 201515 May 2015

Publication series

NameIEEE National Radar Conference - Proceedings
NumberJune
Volume2015-June
ISSN (Print)1097-5659

Conference

Conference2015 IEEE International Radar Conference, RadarCon 2015
Country/TerritoryUnited States
CityArlington
Period10/05/1515/05/15

Keywords

  • beam pattern
  • monopulse system
  • non-uniform excitation
  • subarray design
  • weighted K-means clustering

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