TY - GEN
T1 - Mainlobe Interference Suppression Method Based on Blocking Matrix Preprocessing with Low Sidelobe Constraint
AU - Haoyu, Meng
AU - Xiaodong, Qu
AU - Xingyu, Zhang
AU - Wolin, Li
AU - Zhengyan, Zhang
AU - Xiaopeng, Yang
N1 - Publisher Copyright:
© 2022 Asia-Pacific of Signal and Information Processing Association (APSIPA).
PY - 2022
Y1 - 2022
N2 - Adaptive beamforming is widely used in phased array radar for interference and noise suppression. However, when mainlobe interference exists, mainlobe distortion, peak offset and sidelobe level rise will occur, which seriously deteriorate the performance of adaptive beamforming. To address this issue, this paper proposes a mainlobe interference suppression method based on blocking matrix preprocessing (BMP) with low sidelobe constraint. In the method, singular value decomposition (SVD) method is firstly utilized to estimate the angle of the mainlobe interference and blocking matrix is constituted to suppress the mainlobe interference. Then, under the restriction of low sidelobe level, a convex optimization problem is solved to further suppress the sidelobe interferences. Numerical simulations are conducted, and the results show the effectiveness and robustness of the method.
AB - Adaptive beamforming is widely used in phased array radar for interference and noise suppression. However, when mainlobe interference exists, mainlobe distortion, peak offset and sidelobe level rise will occur, which seriously deteriorate the performance of adaptive beamforming. To address this issue, this paper proposes a mainlobe interference suppression method based on blocking matrix preprocessing (BMP) with low sidelobe constraint. In the method, singular value decomposition (SVD) method is firstly utilized to estimate the angle of the mainlobe interference and blocking matrix is constituted to suppress the mainlobe interference. Then, under the restriction of low sidelobe level, a convex optimization problem is solved to further suppress the sidelobe interferences. Numerical simulations are conducted, and the results show the effectiveness and robustness of the method.
KW - angle estimation
KW - blocking matrix preprocessing
KW - low sidelobe constraint
KW - mianlobe interference suppression
UR - http://www.scopus.com/inward/record.url?scp=85146292160&partnerID=8YFLogxK
U2 - 10.23919/APSIPAASC55919.2022.9980066
DO - 10.23919/APSIPAASC55919.2022.9980066
M3 - Conference contribution
AN - SCOPUS:85146292160
T3 - Proceedings of 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2022
SP - 2065
EP - 2070
BT - Proceedings of 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2022
Y2 - 7 November 2022 through 10 November 2022
ER -