Robust Adaptive Beamforming for Interference Suppression Based on SNR
Abstract
:1. Introduction
- This paper proposes an estimation method of SNR, and different INCM reconstruction methods are employed for different SNRs, which reduces the complexity generated by solving several QCQP problems and improves the output performance of beamforming at low SNR.
- An automatic subspace determination method is proposed to reconstruct INCM in the high SNR range. Compared with the algorithm that relies on empirical subspace selection, this method avoids the detrimental effect of the number of signals and elements on the subspace selections. It improves the robustness of the subspace-based reconstruction INCM algorithm.
2. Background
3. Proposed Method
3.1. Input SNR Impact on the SMI Beamformer
3.2. INCM Reconstruction
3.3. SV Estimation
4. Performance Evaluation
4.1. Case 1: Known SV
4.2. Case 2: Mismatch Due to Look Direction Error
4.3. Case 3: Mismatch Due to Gain, Phase, and Sensor Location Errors
4.4. Case 4: Mismatch Due to Coherent Local Scattering
4.5. Case 5: Validation for Different Numbers of Interferers
5. Conclusions
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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Input | −30 | −25 | −20 | −15 | −10 | −5 | 0 | 5 | 10 | 15 | 20 | 25 | 30 |
Estimate | −23.71 | −21.65 | −18.76 | −14.85 | −9.98 | −5.01 | 0.40 | 5.12 | 10.03 | 15.00 | 19.99 | 24.97 | 30.29 |
Interference | 1 | 2 | 3 | 4 | 5 | 6 |
Frequency (kHz) | 59 | 61 | 59 | 60 | 60.6 | 60.6 |
Input INR (dB) | 30 | 30 | 10 | 10 | 20 | 15 |
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Chang, L.; Zhang, H.; Gulliver, T.A.; Lyu, T. Robust Adaptive Beamforming for Interference Suppression Based on SNR. Electronics 2023, 12, 4501. https://doi.org/10.3390/electronics12214501
Chang L, Zhang H, Gulliver TA, Lyu T. Robust Adaptive Beamforming for Interference Suppression Based on SNR. Electronics. 2023; 12(21):4501. https://doi.org/10.3390/electronics12214501
Chicago/Turabian StyleChang, Lin, Hao Zhang, T. Aaron Gulliver, and Tingting Lyu. 2023. "Robust Adaptive Beamforming for Interference Suppression Based on SNR" Electronics 12, no. 21: 4501. https://doi.org/10.3390/electronics12214501