<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>With the continuous improvement of various radio system performance indicators, the research work on antenna has become particularly important. According to different scenarios and requirements, practical projects also need the corresponding antennas to produce different radiation patterns. By reasonably setting the parameters of the array antenna, the target radiation pattern can be obtained to meet real life applications. When the array antenna has a large number of basic units and the expected far-field pattern is complicated, the design of the array antenna becomes a complicated optimization problem. To solve this problem, Whale Optimization Algorithm (WOA) is proposed. WOA is not only simple and fast, but can also get the global optimal solution. Therefore, WOA has developed rapidly in recent years. However, the application of this algorithm in the field of antenna design is still relatively rare, thus using WOA to solve the optimization problem of array antenna design is very valuable.</p>
</abstract>

With the continuous improvement of various radio system performance indicators, the research work on antenna has become particularly important. According to different scenarios and requirements, practical projects also need the corresponding antennas to produce different radiation patterns. By reasonably setting the parameters of the array antenna, the target radiation pattern can be obtained to meet real life applications. When the array antenna has a large number of basic units and the expected far-field pattern is complicated, the design of the array antenna becomes a complicated optimization problem. To solve this problem, Whale Optimization Algorithm (WOA) is proposed. WOA is not only simple and fast, but can also get the global optimal solution. Therefore, WOA has developed rapidly in recent years. However, the application of this algorithm in the field of antenna design is still relatively rare, thus using WOA to solve the optimization problem of array antenna design is very valuable.

The Application of Whale Optimization Algorithm in Array Antennas

International Journal of Advanced Network, Monitoring and Controls

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"The Application of Whale Optimization Algorithm in Array Antennas"}

With the continuous improvement of various radio system performance indicators, the research work on antenna has become particularly important. According to...

	amplitude			amplitude
Element number	Chebyshev	WOA	Element number	Chebyshev	WOA
1	0.2271	0.2307	16	1	1
2	0.238	0.2119	17	0.9965	0.9823
3	0.2241	0.2605	18	0.9561	0.9644
4	0.353	0.2993	19	0.9158	0.8965
5	0.4001	0.3938	20	0.8849	0.8608
6	0.4593	0.4684	21	0.7747	0.7952
7	0.536	0.5472	22	0.7251	0.7009
8	0.6153	0.637	23	0.6153	0.637
9	0.7251	0.7009	24	0.536	0.5472
10	0.7747	0.7952	25	0.4593	0.4684
11	0.8849	0.8608	26	0.4001	0.3938
12	0.9158	0.8965	27	0.353	0.2993
13	0.9561	0.9644	28	0.2241	0.2605
14	0.9965	0.9823	29	0.238	0.2119
15	1	1	30	0.2271	0.2307

The Application of Whale Optimization Algorithm in Array Antennas

Published Online: Mar 16, 2024

Page range: 29 - 37

DOI: https://doi.org/10.2478/ijanmc-2023-0074

Keywords
Multi-source Data Fusion, ICP Algorithm, IMU, Three-dimensional Reconstruction

© 2023 Long Qin et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1.

Figure 2.

Figure 3.

Figure 4.

Figure 5.

Figure 6.

Figure 7.

Figure 8.

Figure 9.

Comparison of optimization results between Chebyshev distribution and WOA

The Application of Whale Optimization Algorithm in Array Antennas

Published Online: Mar 16, 2024

Page range: 29 - 37

DOI: https://doi.org/10.2478/ijanmc-2023-0074

KeywordsMulti-source Data Fusion, ICP Algorithm, IMU, Three-dimensional Reconstruction

© 2023 Long Qin et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1.

Figure 2.

Figure 3.

Figure 4.

Figure 5.

Figure 6.

Figure 7.

Figure 8.

Figure 9.

Comparison of optimization results between Chebyshev distribution and WOA

Keywords
Multi-source Data Fusion, ICP Algorithm, IMU, Three-dimensional Reconstruction