Abstract
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.
Original language | English |
---|---|
Pages (from-to) | 3699-3703 |
Number of pages | 5 |
Journal | IET Conference Proceedings |
Volume | 2023 |
Issue number | 47 |
DOIs | |
Publication status | Published - 2023 |
Event | IET International Radar Conference 2023, IRC 2023 - Chongqing, China Duration: 3 Dec 2023 → 5 Dec 2023 |
Keywords
- ANTI-JAMMING
- PARAMETERS ESTIMATION
- PEAK-TO-SIDELOBE LEVEL
- POLARIZATION
- TWO-DIMENSIONAL GOLDEN SECTION