A Novel Iterative Method to the Synthesis of Subarrayed Monopulse Linear Arrays

In this paper, a novel hybrid iterative method which combines iterative Fourier technique (IFT) with the fuzzy C-means clustering algorithm (FCM) is proposed to synthesize subarrayed monopulse linear arrays. In the synthesis problems, when the sidelobe level objective is achieved, the FCM is integra...

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Bibliographic Details
Published inUK, Europe, China Millimetre Waves and THZ Technology Workshop (Online) pp. 1 - 3
Main Authors Cui, Chao-Yi, Li, Xin, Huang, Yan, Jiao, Yong-Chang
Format Conference Proceeding
LanguageEnglish
Published IEEE 29.08.2020
Subjects
Adaptive arrays
Antennas
Iterative methods
Matlab
Microwave antenna arrays
Optimization
Partitioning algorithms
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ISSN2639-4537
DOI10.1109/UCMMT49983.2020.9296038

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Summary:In this paper, a novel hybrid iterative method which combines iterative Fourier technique (IFT) with the fuzzy C-means clustering algorithm (FCM) is proposed to synthesize subarrayed monopulse linear arrays. In the synthesis problems, when the sidelobe level objective is achieved, the FCM is integrated into the IFT loops to handle the subarray partition problems. Synthesis of small and large monopulse arrays with different number of subarrays are reported by comparisons with state-of-the-art literatures to demonstrate the effectiveness of the proposed method.
ISSN:2639-4537
DOI:10.1109/UCMMT49983.2020.9296038