Author details

Hui Chen\* and Qun Wan School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, PR China

\*Address all correspondence to: huichen0929@uestc.edu.cn

© 2019 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/ by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

The proposed APS algorithm based on reweighted l1-norm minimization and array orientation diversity is demonstrated to be effective in reducing array elements, suppressing the sidelobe, and reducing the energy consumption to some

Element positions and excitation amplitudes in a 10-element four-array orientation antenna.

Element positions and excitation amplitudes in a 9-element three-array orientation antenna.

This chapter focuses on the APS problem with sparse antenna array, which has

practical applications, especially for massive antenna array. By using array

extent.

48

Figure 13.

Figure 12.

Advances in Array Optimization

4. Conclusions
