TY - GEN
T1 - Mainlobe Jamming Suppression Method Based on Combination of Spatial and Polarization Domain for Distributed Array Radar
AU - Han, Bowen
AU - Qu, Xiaodong
AU - Yang, Xiaopeng
AU - Meng, Haoyu
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Main auxiliary joint distributed array radar can form a larger aperture by using a smaller number of unit radars, so as to obtain spatial high-resolution characteristics. However, in the case of mainlobe jamming, its output performance will be greatly affected. In order to solve this problem, this paper proposes a spatial polarization domain joint mainlobe jamming suppression method for distributed main auxiliary joint array radar. Firstly, the spatial polarization steering vector is constructed by using the different polarization characteristics of main array and auxiliary array. Then, the jamming polarization state and direction are estimated by using the spatial polarization steering vector and the received signal. Finally, the minimum mean square error (MMSE) criterion is used to calculate the beamforming weight vector for mainlobe jamming suppression. Simulation results demonstrate the effectiveness of the proposed algorithm and advantages over traditional beamforming methods.
AB - Main auxiliary joint distributed array radar can form a larger aperture by using a smaller number of unit radars, so as to obtain spatial high-resolution characteristics. However, in the case of mainlobe jamming, its output performance will be greatly affected. In order to solve this problem, this paper proposes a spatial polarization domain joint mainlobe jamming suppression method for distributed main auxiliary joint array radar. Firstly, the spatial polarization steering vector is constructed by using the different polarization characteristics of main array and auxiliary array. Then, the jamming polarization state and direction are estimated by using the spatial polarization steering vector and the received signal. Finally, the minimum mean square error (MMSE) criterion is used to calculate the beamforming weight vector for mainlobe jamming suppression. Simulation results demonstrate the effectiveness of the proposed algorithm and advantages over traditional beamforming methods.
KW - distributed array radar
KW - mainlobe jamming suppression
KW - spatial polarization domain
KW - steering vector
UR - http://www.scopus.com/inward/record.url?scp=85163927084&partnerID=8YFLogxK
U2 - 10.1109/Radar53847.2021.10028278
DO - 10.1109/Radar53847.2021.10028278
M3 - Conference contribution
AN - SCOPUS:85163927084
T3 - Proceedings of the IEEE Radar Conference
SP - 1954
EP - 1958
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 -