Thinned and Sparse Beamforming for Semicircular FDAs in the Transmit–Receive Domain
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Published:2024-09-03
Issue:17
Volume:16
Page:3262
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ISSN:2072-4292
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Container-title:Remote Sensing
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language:en
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Short-container-title:Remote Sensing
Author:
Wang Anyi1, Huang Xiao1, Xu Yanhong1, Meng Xiao2, Lu Yumeng1
Affiliation:
1. Xi’an Key Laboratory of Network Convergence Communication, College of Communication and Information Engineering, Xi’an University of Science and Technology, Xi’an 710054, China 2. School of Physics, Xidian University, Xi’an 710071, China
Abstract
The thinned and sparse beamforming for semicircular FDAs were investigated, where the excitation amplitudes were also considered in thinned semicircular FDAs, and only the elements’ positions were incorporated into the sparse semicircular FDA. Firstly, the transmit–receive model was introduced to handle the inherent time-varying issue of FDA, followed by the thinned and sparse implementations successively. Note that three types of non-linearly varying frequency offsets (FO), i.e., log-FO, sin-FO, and tanh-FO, were adopted during the investigations. Under the same assumption that 50% of the elements should be saved, the sidelobe levels (SLLs) of the thinned semicircular -FDAs were reduced by 5.8 dB, 4.4 dB, and 4.4 dB, and the widths of the mainlobes were all widened by 3° in their angle dimension. Compared with the thinned semicircular FDAs, the phenomenon of mainlobe widening was alleviated in the sparse semicircular FDAs where the SLLs were reduced by 2.2 dB, 3.7 dB and 3.5 dB, and the mainlobes’ widths in the angle dimension were widened by 1°, 0° and 1°, respectively. It should be highlighted that the sparse semicircular FDA with sin-FO did not broaden the mainlobe in the angle dimension. Therefore, it can be concluded that a sparse semicircular FDA is superior over a thinned semicircular FDA, since it can reduce the same cost with a higher array resolution.
Funder
National Science Foundation of China Shaanxi Science and Technology Association Youth Talent Lifting Program
Reference62 articles.
1. Antonik, P., Wicks, M.C., Griffiths, H.D., and Baker, C.J. (2006, January 24–27). Frequency Diverse Array Radars. Proceedings of the 2006 IEEE Conference on Radar, Verona, NY, USA. 2. A Joint Array Parameters Design Method Based on FDA-MIMO Radar;Ding;IEEE Trans. Aerosp. Electron. Syst.,2023 3. Adaptive FDA Radar Transmit Power Allocation for Target Detection Enhancement in Clutter Environment;Huang;IEEE Trans. Veh. Technol.,2023 4. Zhang, T., Wang, Z., Xing, M., Zhang, S., and Wang, Y. (2022). Research on Multi-Domain Dimensionality Reduction Joint Adaptive Processing Method for Range Ambiguous Clutter of FDA-Phase-MIMO Space-Based Early Warning Radar. Remote Sens., 14. 5. Liu, Z., Zhu, S., Xu, J., Lan, L., He, X., and Li, X. (2023). Cooperated Moving Target Detection Approach for PA-FDA Dual-Mode Radar in Range-Ambiguous Clutter. Remote Sens., 15.
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