A Knowledge Reuse–Based Approach for Rapid Design of an Active Phased Array Antenna.
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| Title: | A Knowledge Reuse–Based Approach for Rapid Design of an Active Phased Array Antenna. |
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| Authors: | Wang, Yan1 (AUTHOR), Gu, Yucheng1 (AUTHOR) guyc010208@163.com, Xian, Pengcheng1 (AUTHOR), Xing, Zhaoyang2 (AUTHOR), Yan, Biaolin1 (AUTHOR), Xue, Song2 (AUTHOR), Wang, Zhihai3 (AUTHOR), Yu, Kunpeng3 (AUTHOR), Wu, Wenzhi3 (AUTHOR), Wang, Congsi4 (AUTHOR) congsiwang@163.com, Wang, Chien-Jen (AUTHOR) cjwang@mail.nutn.edu.tw |
| Source: | International Journal of Antennas & Propagation. 4/13/2026, Vol. 2026, p1-20. 20p. |
| Subjects: | Phased array antennas, Knowledge base, Design techniques, Multidisciplinary design optimization, Case-based reasoning, Expert systems, Knowledge management |
| Abstract: | Active phased array antenna is a typical multidisciplinary, intensive knowledge‐based equipment, and the traditional "design–analysis–improvement–redesign" method has problems including low utilization of mature design resources and long design cycles, and it is difficult to meet the efficient design needs of antennas. Active phased array antenna has a mature architecture, with a large number of multidisciplinary parameters, engineering instances, and other knowledge, and the reuse of design‐related knowledge is high, and it is suitable for building a knowledge base to reasonably utilize the existing design knowledge. Through in‐depth analysis of the antenna's composition, multidisciplinary performance, and design steps, the antenna's design knowledge is classified into three types of knowledge: parameter, rule, and instance, and the active phased array antenna design knowledge base is constructed, and a hybrid reasoning method combining rule‐based reasoning and instance‐based reasoning is further proposed to carry out the rapid matching of antenna instances from the knowledge base, as well as the multidisciplinary adaptation of the antenna structure when oriented to the new index requirements. A hybrid reasoning method combining rule‐based reasoning and instance‐based reasoning is further proposed to perform fast matching of antenna instances from the knowledge base, as well as multidisciplinary retrofitting of the antenna structure when facing new index requirements, thus realizing the multidisciplinary active phased array antenna intelligent and fast design. [ABSTRACT FROM AUTHOR] |
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| Database: | Engineering Source |
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| Abstract: | Active phased array antenna is a typical multidisciplinary, intensive knowledge‐based equipment, and the traditional "design–analysis–improvement–redesign" method has problems including low utilization of mature design resources and long design cycles, and it is difficult to meet the efficient design needs of antennas. Active phased array antenna has a mature architecture, with a large number of multidisciplinary parameters, engineering instances, and other knowledge, and the reuse of design‐related knowledge is high, and it is suitable for building a knowledge base to reasonably utilize the existing design knowledge. Through in‐depth analysis of the antenna's composition, multidisciplinary performance, and design steps, the antenna's design knowledge is classified into three types of knowledge: parameter, rule, and instance, and the active phased array antenna design knowledge base is constructed, and a hybrid reasoning method combining rule‐based reasoning and instance‐based reasoning is further proposed to carry out the rapid matching of antenna instances from the knowledge base, as well as the multidisciplinary adaptation of the antenna structure when oriented to the new index requirements. A hybrid reasoning method combining rule‐based reasoning and instance‐based reasoning is further proposed to perform fast matching of antenna instances from the knowledge base, as well as multidisciplinary retrofitting of the antenna structure when facing new index requirements, thus realizing the multidisciplinary active phased array antenna intelligent and fast design. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 16875869 |
| DOI: | 10.1155/ijap/8138828 |
