TY - GEN
T1 - Sparse Circular Arrays with Low Sidelobe Levels
AU - Wang, Yue
AU - Xu, Yougen
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Sparse circular arrays possess the dual advantages of the sparse array and the circular array: 1) the sparse array has expanded processing aperture and reduced channel number as well as reduced element mutual coupling; 2) the circular array can provide 360° omnidirectional non-ambiguous azimuth coverage. In this paper, a new sparse circular array geometry based on the criteria of minimizing the maximum sidelobe level (MSLL) is pro-posed. In addition, a binary sine cosine algorithm based on the dynamic grading strategy is established for finding the optimized sparse circular array element positions. For a fixed processing aperture, the array configurations given in the paper, as compared with their uniform counterparts, involve less number of receivers, have reduced element mutual coupling and the lowest sidelobe level. Simulations results are provided to illustrate the behavior of the proposed sparse circular arrays.
AB - Sparse circular arrays possess the dual advantages of the sparse array and the circular array: 1) the sparse array has expanded processing aperture and reduced channel number as well as reduced element mutual coupling; 2) the circular array can provide 360° omnidirectional non-ambiguous azimuth coverage. In this paper, a new sparse circular array geometry based on the criteria of minimizing the maximum sidelobe level (MSLL) is pro-posed. In addition, a binary sine cosine algorithm based on the dynamic grading strategy is established for finding the optimized sparse circular array element positions. For a fixed processing aperture, the array configurations given in the paper, as compared with their uniform counterparts, involve less number of receivers, have reduced element mutual coupling and the lowest sidelobe level. Simulations results are provided to illustrate the behavior of the proposed sparse circular arrays.
KW - beam pattern
KW - binary sine cosine algorithm
KW - sidelobe level
KW - sparse circular array
UR - http://www.scopus.com/inward/record.url?scp=85136939160&partnerID=8YFLogxK
U2 - 10.1109/CTISC54888.2022.9849787
DO - 10.1109/CTISC54888.2022.9849787
M3 - Conference contribution
AN - SCOPUS:85136939160
T3 - CTISC 2022 - 2022 4th International Conference on Advances in Computer Technology, Information Science and Communications
BT - CTISC 2022 - 2022 4th International Conference on Advances in Computer Technology, Information Science and Communications
A2 - Gerogianni, Vassilis C.
A2 - Yue, Yong
A2 - Kamareddine, Fairouz
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th International Conference on Advances in Computer Technology, Information Science and Communications, CTISC 2022
Y2 - 22 April 2022 through 24 April 2022
ER -