TY - GEN
T1 - Wideband Adaptive Beamforming for Mainlobe Interferences Based on Angle-frequency Reciprocity and Covariance Matrix Reconstruction
AU - Li, Shuai
AU - Chen, Xiaoyang
AU - Hou, Xiaogeng
AU - Li, Ming
AU - Zheng, Zhong
AU - Qiu, Lede
AU - Yang, Xiaopeng
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - The conventional wideband adaptive beam-forming method would deteriorate severely when the interferences are present in mainlobe. To overcome this problem, a wideband adaptive beamforming method for mainlobe interferences is proposed based on angle-frequency reciprocity and covariance matrix reconstruction. In the proposed method, the received wideband signals are firstly decomposed into narrow sub-bands. Based on the angle-frequency reciprocity in steering vector, the wideband matrix filter is constructed to estimate the number of mainlobe interferences. Sequentially, the echo data in element space is transformed to that in beam space, and then the beam-space eigen-projection matrix of each sub-band is calculated to suppress the mainlobe interferences. In the following, the array covariance matrix of each sub-band is reconstructed to eliminate the effect of noise perturbation and mainlobe interferences. Finally, the wideband adaptive weight vector is calculated based on the reconstructed covariance matrices. The effectiveness of proposed method is verified by numerical simulations.
AB - The conventional wideband adaptive beam-forming method would deteriorate severely when the interferences are present in mainlobe. To overcome this problem, a wideband adaptive beamforming method for mainlobe interferences is proposed based on angle-frequency reciprocity and covariance matrix reconstruction. In the proposed method, the received wideband signals are firstly decomposed into narrow sub-bands. Based on the angle-frequency reciprocity in steering vector, the wideband matrix filter is constructed to estimate the number of mainlobe interferences. Sequentially, the echo data in element space is transformed to that in beam space, and then the beam-space eigen-projection matrix of each sub-band is calculated to suppress the mainlobe interferences. In the following, the array covariance matrix of each sub-band is reconstructed to eliminate the effect of noise perturbation and mainlobe interferences. Finally, the wideband adaptive weight vector is calculated based on the reconstructed covariance matrices. The effectiveness of proposed method is verified by numerical simulations.
KW - angle-frequency reciprocity
KW - beam space
KW - covariance matrix reconstruction
KW - mainlobe interferences
KW - wideband adaptive beamforming
UR - http://www.scopus.com/inward/record.url?scp=85181110918&partnerID=8YFLogxK
U2 - 10.1109/Radar53847.2021.10028512
DO - 10.1109/Radar53847.2021.10028512
M3 - Conference contribution
AN - SCOPUS:85181110918
T3 - Proceedings of the IEEE Radar Conference
SP - 1561
EP - 1565
BT - 2021 CIE International Conference on Radar, Radar 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 CIE International Conference on Radar, Radar 2021
Y2 - 15 December 2021 through 19 December 2021
ER -