Synthesis Pattern of Parse Linear Arrays Based on Multi Task Learning
JIA Yueling
LI Longjun
WANG Buhong
Abstract：This paper proposes a multi-task learning method of j oint optimization based on sparse linear ar-ray position of elements and weights of the array.The method can get more information from the target pattern features without adequate prior knowledge,and convert the sparse array antennas into a linear re-gression problem sparse matrix.By identifying sparse vector support area,the paper transforms the under-determined steering vector matrix equation to the over determined conversion feature matrix equation.The results show that the proposed algorithm can optimize the position and weights of elements,and at the same time,this can realize the shaped beam pattern effectively.
Keywords：sparse linear arrayjoint optimizationMulti-task learningbeam control
Publication Date：2016-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 90-94 )