TY - JOUR
T1 - POLARIZATION PARAMETERS ESTIMATION OF RADAR JAMMING VIA FOUR-PROBE TWO-DIMENSIONAL GOLDEN SECTION
AU - Zhao, Ziyu
AU - Lang, Ping
AU - Fu, Xiongjun
AU - Dong, Jian
AU - Liu, Yang
N1 - Publisher Copyright:
© The Institution of Engineering & Technology 2023.
PY - 2023
Y1 - 2023
N2 - Accurate estimation of polarization parameters of jamming signals is usually necessary for implementing effective radar anti-jamming measures in polarization domain. To improve estimation performance, this paper proposes a four-probe two-dimensional golden section method (FPGSM) based on the peak-to-sidelobe level (PSL) of the jamming signals. The mixed echo signal model of target and jamming is firstly built by the polarization representation method. Then, the four-probe two-dimensional golden section based jamming parameter evaluation model and its procedure is presented. The simulation results demonstrate that the proposed improved algorithm can achieve an estimation accuracy of over 90%, as well as a good resistance against noise.
AB - Accurate estimation of polarization parameters of jamming signals is usually necessary for implementing effective radar anti-jamming measures in polarization domain. To improve estimation performance, this paper proposes a four-probe two-dimensional golden section method (FPGSM) based on the peak-to-sidelobe level (PSL) of the jamming signals. The mixed echo signal model of target and jamming is firstly built by the polarization representation method. Then, the four-probe two-dimensional golden section based jamming parameter evaluation model and its procedure is presented. The simulation results demonstrate that the proposed improved algorithm can achieve an estimation accuracy of over 90%, as well as a good resistance against noise.
KW - ANTI-JAMMING
KW - PARAMETERS ESTIMATION
KW - PEAK-TO-SIDELOBE LEVEL
KW - POLARIZATION
KW - TWO-DIMENSIONAL GOLDEN SECTION
UR - https://www.scopus.com/pages/publications/85203180057
U2 - 10.1049/icp.2024.1701
DO - 10.1049/icp.2024.1701
M3 - Conference article
AN - SCOPUS:85203180057
SN - 2732-4494
VL - 2023
SP - 3699
EP - 3703
JO - IET Conference Proceedings
JF - IET Conference Proceedings
IS - 47
T2 - IET International Radar Conference 2023, IRC 2023
Y2 - 3 December 2023 through 5 December 2023
ER -