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      간섭상관행렬 추출을 통한 포인팅 오류에 강인한 적응 빔포밍 = Adpative Beamforming Robust to Pointing Errors Through Extraction of Interference Correlation Matrix

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      https://www.riss.kr/link?id=A108669614

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      다국어 초록 (Multilingual Abstract)

      The output SINR (signal-to-interference-plus-noise ratio) of an adaptive beamformer can be significantly deteriorated by pointing errors which cause the desired signal to be suppressed as an interference. We present a robust beamforming method through the extraction of an interference correlation matrix from the sample matrix, which is performed by an oblique projection. The matrix for oblique projection is found from the eigendecomposition of the sample matrix, without the estimation of the arrival angles and powers of interferences. Hence the computational complexity of the proposed method is much less than the existing ones that find an interference matrix through a matrix integration or direction estimation over a range of interference angle. The direction of the desired signal is estimated by MUSIC (multiple signal classification), which provides more accurate estimates than the Capon estimator that has often been used by existing beamformers. Simulation results demonstrate that the proposed method is robust against random errors as well as pointing errors.
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      The output SINR (signal-to-interference-plus-noise ratio) of an adaptive beamformer can be significantly deteriorated by pointing errors which cause the desired signal to be suppressed as an interference. We present a robust beamforming method through...

      The output SINR (signal-to-interference-plus-noise ratio) of an adaptive beamformer can be significantly deteriorated by pointing errors which cause the desired signal to be suppressed as an interference. We present a robust beamforming method through the extraction of an interference correlation matrix from the sample matrix, which is performed by an oblique projection. The matrix for oblique projection is found from the eigendecomposition of the sample matrix, without the estimation of the arrival angles and powers of interferences. Hence the computational complexity of the proposed method is much less than the existing ones that find an interference matrix through a matrix integration or direction estimation over a range of interference angle. The direction of the desired signal is estimated by MUSIC (multiple signal classification), which provides more accurate estimates than the Capon estimator that has often been used by existing beamformers. Simulation results demonstrate that the proposed method is robust against random errors as well as pointing errors.

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      참고문헌 (Reference)

      1 황찬호, "등간격 선형 안테나배열에서 적응형 빔포밍 알고리즘의 성능 향상 연구" 한국통신학회 44 (44): 859-863, 2019

      2 R.T. Behrens, "Signal processing applications of oblique projection operators" Institute of Electrical and Electronics Engineers (IEEE) 42 (42): 1413-1424, 1994

      3 Zhiwei Yang, "Robust beamforming via alternating iteratively estimating the steering vector and interference-plus-noise covariance matrix" Elsevier BV 99 : 102620-, 2020

      4 Xingyu Zhu, "Robust adaptive beamforming via subspace for interference covariance matrix reconstruction" Elsevier BV 167 : 107289-, 2020

      5 Fengfeng Chen, "Robust adaptive beamforming using low‐complexity correlation coefficient calculation algorithms" Institution of Engineering and Technology (IET) 51 (51): 443-445, 2015

      6 Yujie Gu, "Robust adaptive beamforming based on interference covariance matrix sparse reconstruction" Elsevier BV 96 : 375-381, 2014

      7 Zhi Zheng, "Robust Adaptive Beamforming via Simplified Interference Power Estimation" Institute of Electrical and Electronics Engineers (IEEE) 55 (55): 3139-3152, 2019

      8 Yujie Gu, "Robust Adaptive Beamforming Based on Interference Covariance Matrix Reconstruction and Steering Vector Estimation" Institute of Electrical and Electronics Engineers (IEEE) 60 (60): 3881-3885, 2012

      9 J. Li, "Robust Adaptive Beamforming" Wiely 2005

      10 Rammohan Mallipeddi, "ROBUST ADAPTIVE BEAMFORMING BASED ON COVARIANCE MATRIX RECONSTRUCTION FOR LOOK DIRECTION MISMATCH" The Electromagnetics Academy 25 : 37-46, 2011

      1 황찬호, "등간격 선형 안테나배열에서 적응형 빔포밍 알고리즘의 성능 향상 연구" 한국통신학회 44 (44): 859-863, 2019

      2 R.T. Behrens, "Signal processing applications of oblique projection operators" Institute of Electrical and Electronics Engineers (IEEE) 42 (42): 1413-1424, 1994

      3 Zhiwei Yang, "Robust beamforming via alternating iteratively estimating the steering vector and interference-plus-noise covariance matrix" Elsevier BV 99 : 102620-, 2020

      4 Xingyu Zhu, "Robust adaptive beamforming via subspace for interference covariance matrix reconstruction" Elsevier BV 167 : 107289-, 2020

      5 Fengfeng Chen, "Robust adaptive beamforming using low‐complexity correlation coefficient calculation algorithms" Institution of Engineering and Technology (IET) 51 (51): 443-445, 2015

      6 Yujie Gu, "Robust adaptive beamforming based on interference covariance matrix sparse reconstruction" Elsevier BV 96 : 375-381, 2014

      7 Zhi Zheng, "Robust Adaptive Beamforming via Simplified Interference Power Estimation" Institute of Electrical and Electronics Engineers (IEEE) 55 (55): 3139-3152, 2019

      8 Yujie Gu, "Robust Adaptive Beamforming Based on Interference Covariance Matrix Reconstruction and Steering Vector Estimation" Institute of Electrical and Electronics Engineers (IEEE) 60 (60): 3881-3885, 2012

      9 J. Li, "Robust Adaptive Beamforming" Wiely 2005

      10 Rammohan Mallipeddi, "ROBUST ADAPTIVE BEAMFORMING BASED ON COVARIANCE MATRIX RECONSTRUCTION FOR LOOK DIRECTION MISMATCH" The Electromagnetics Academy 25 : 37-46, 2011

      11 R. Compton, "Pointing Accuracy and Dynamic Range in a Steered Beam Adaptive Array" Institute of Electrical and Electronics Engineers (IEEE) AES-16 (AES-16): 280-287, 1980

      12 Jian Li, "On robust Capon beamforming and diagonal loading" Institute of Electrical and Electronics Engineers (IEEE) 51 (51): 1702-1715, 2003

      13 R. Schmidt, "Multiple emitter location and signal parameter estimation" Institute of Electrical and Electronics Engineers (IEEE) 34 (34): 276-280, 1986

      14 L. Chang, "Effect of pointing errors on the performance of the projection beamformer" Institute of Electrical and Electronics Engineers (IEEE) 41 (41): 1045-1056, 1993

      15 Yang-Ho Choi, "Doubly constrained robust beamforming method using subspace-associated power components" Elsevier BV 42 : 43-49, 2015

      16 Zhi Zheng, "Covariance Matrix Reconstruction With Interference Steering Vector and Power Estimation for Robust Adaptive Beamforming" Institute of Electrical and Electronics Engineers (IEEE) 67 (67): 8495-8503, 2018

      17 Pan Zhang, "An RCB-Like Steering Vector Estimation Method Based on Interference Matrix Reduction" Institute of Electrical and Electronics Engineers (IEEE) 57 (57): 636-646, 2021

      18 J.W. Kim, "A robust adaptive array based on signal subspace approach" Institute of Electrical and Electronics Engineers (IEEE) 41 (41): 3166-3171, 1993

      19 M.L. McCloud, "A new subspace identification algorithm for high-resolution DOA estimation" Institute of Electrical and Electronics Engineers (IEEE) 50 (50): 1382-1390, 2002

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