Beamforming Research for Near-field Linear Sparse Array Based on Unmanned Aerial Vehicle Swarm

ZHANG Yinan; WANG Guangxue; PENG Shirui; LENG Yi

doi:10.11999/JEIT211452

Volume 45 Issue 1

Jan. 2023

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Article Navigation > Journal of Electronics & Information Technology > 2023 > 45(1): 181-190

ZHANG Yinan, WANG Guangxue, PENG Shirui, LENG Yi. Beamforming Research for Near-field Linear Sparse Array Based on Unmanned Aerial Vehicle Swarm[J]. Journal of Electronics & Information Technology, 2023, 45(1): 181-190. doi: 10.11999/JEIT211452

Citation:

ZHANG Yinan, WANG Guangxue, PENG Shirui, LENG Yi. Beamforming Research for Near-field Linear Sparse Array Based on Unmanned Aerial Vehicle Swarm[J]. Journal of Electronics & Information Technology, 2023, 45(1): 181-190. doi: 10.11999/JEIT211452

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Beamforming Research for Near-field Linear Sparse Array Based on Unmanned Aerial Vehicle Swarm

doi: 10.11999/JEIT211452

Information Countermeasure Department, Air Force Early Warning Academy, Wuhan 430019, China

Funds: The National Natural Science Foundation of China (62101592)

Received Date: 2021-12-06
Accepted Date: 2022-06-01
Rev Recd Date: 2022-05-11

Available Online: 2022-06-07

Publish Date: 2023-01-17

Abstract

Abstract

The antenna array composed of UAVs (Unmanned Aerial Vehicle Swarm) often presents near-field and sparse characteristics, which can not be adapted by the classical beamforming theory. Therefore, the near-field uniform linear array signal model is first constructed, and a simplified implementation method of near-field beamforming based on linear frequency modulation pulse compression by Taylor expansion of the signal phase difference function is proposed. Then the characteristics of near-field beamforming are analyzed in the two-dimensional space-frequency domain. From the perspective of spatial under sampling, the analytical expression of near-field beam grating lobe distribution under the condition of sparse array elements is proposed. From the perspective of spatial frequency offset and bandwidth mismatch, the variation characteristics of azimuth gain and range gain of near-field beam are analyzed and obtained. Simulation results show the effectiveness of the conclusions, and provide a theoretical support for using beamforming technology to improve the communication, reconnaissance and jamming capabilities of UAVs.
- Unmanned Aerial Vehicle Swarm (UAVs),
- Sparse array,
- Near-field beamforming,
- Beam characteristics,
- Grating lobe distribution

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References(22)

References

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