@inproceedings{7e3d5c7467104496acc836b164f1d504,
title = "Optimization of Mainlobe Width and Array Geometry via Mixed-Integer Programming",
abstract = "This paper presents a method based on mixedinteger programming (MIP) to optimize the mainlobe width and array geometry. By introducing variables with value of 0 or 1 (Boolean) onto the relaxation region and element excitations respectively, we can not only obtain minimum mainlobe width and element number separately, but also can jointly optimize these two indexes. Different from existing works, our proposed method does not require iterations when optimizing the mainlobe width. Furthermore, the two Boolean variables can also be optimized simultaneously. Simulations are shown to illustrate the effectiveness of proposed method.",
keywords = "Beampattern synthesis, array geometry, mainlobe width, mixed-integer programming",
author = "Tianyuan and Wenbo Li and Kejiang Wu and Qing Shen",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 2025 IEEE Workshop on Signal Processing Systems, SiPS 2025 ; Conference date: 01-11-2025 Through 04-11-2025",
year = "2025",
doi = "10.1109/SiPS66314.2025.11261309",
language = "English",
series = "2025 IEEE Workshop on Signal Processing Systems, SiPS 2025",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2025 IEEE Workshop on Signal Processing Systems, SiPS 2025",
address = "United States",
}