Linear Coprime Sensor Location Arrays: Array Calibration and Beamforming

LIANG Mengwei; HE Jin; SHU Ting; YU Wenxian

doi:10.11999/JEIT221539

Volume 46 Issue 1

Jan. 2024

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LIANG Mengwei, HE Jin, SHU Ting, YU Wenxian. Linear Coprime Sensor Location Arrays: Array Calibration and Beamforming[J]. Journal of Electronics & Information Technology, 2024, 46(1): 240-248. doi: 10.11999/JEIT221539

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LIANG Mengwei, HE Jin, SHU Ting, YU Wenxian. Linear Coprime Sensor Location Arrays: Array Calibration and Beamforming[J]. Journal of Electronics & Information Technology, 2024, 46(1): 240-248. doi: 10.11999/JEIT221539

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Linear Coprime Sensor Location Arrays: Array Calibration and Beamforming

doi: 10.11999/JEIT221539

School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China

Funds: The National Natural Science Foundation of China (61771302)

Received Date: 2022-12-13
Rev Recd Date: 2023-05-25

Available Online: 2023-06-09

Publish Date: 2024-01-17

Abstract

Abstract

Focusing on investigating the problems of array calibration and beamforming for Coprime Location Arrays (CLA), a new beamforming algorithm, which is called CLA-SILAC-INCM algorithm is proposed for the partly calibrated CLAs, by exploiting the Simultaneous Interference Localization and Array Calibration (SILAC) technique. Theoretical analysis shows that when the CLA contains not less than 3 fully calibrated antenna elements, highly accurate and unambiguous estimation for interference direction and array gain-phase error vector can be obtained using the SILAC technique. Afterward, the Interference plus Noise Covariance Matrix (INCM) is reconstructed and the optimal beamforming weighting vector is computed. Simulation results show that the proposed CLA-SILAC-INCM algorithm exhibits better performance compared with existing algorithms, especially when the signal-to-noise ratio is close to interference-to-noise ratio.
- Sparse array,
- Robust adaptive beamforming,
- Array calibration

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References(29)

References

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