Incorporating Light Beam Search in a Vector Normal Boundary Intersection Method for Linear Antenna Array Optimization

• Published in: IEEE transactions on magnetics Vol. 53; no. 6; pp. 1 - 4
• Main Authors: An, Siguang, Yang, Shiyou, Ren, Zhuoxiang
• Format: Journal Article
• Language: English
• Published: New York IEEE 01-06-2017; The Institute of Electrical and Electronics Engineers, Inc. (IEEE); Institute of Electrical and Electronics Engineers
• Subjects: Algorithms; Antenna array design; Antenna radiation patterns; Antennas; Decision making; Design; Design engineering; Directivity; Dynamical systems; Electromagnetism; Engineering Sciences; Evolutionary design method; Functions (mathematics); inverse problem; light beam search method; Linear antenna arrays; Magnetism; Mathematical analysis; Multiple objective analysis; normal boundary intersection; Optimization; Pareto optimum; Projection; Search problems; Searching; Sociology; Statistics; Wireless communication systems; Wireless communications
• ISSN: 0018-9464; 1941-0069
• DOI: 10.1109/TMAG.2017.2664077

An high directivity and low side lobe level antenna array is essential in wireless communication systems. Currently, the array design is often based on the experience of the designer. To combine the preferences of a decision maker into the evolution process of a multi-objective linear antenna array design problem, the light beam search method is proposed to be incorporated into a vector normal boundary intersection method to find an arbitrary fraction of the Pareto front. To adapt different preferences, a new transformed projection mechanism is introduced. To enhance the diversity of the algorithm, a dynamic transitional sub-domain strategy is proposed and used. Typical mathematical test functions and a ten-element linear antenna array optimization problem are used to testify the effectiveness of the proposed method.