Name
Title | ||
|---|---|---|
Mainlobe Jamming Suppression Via Independent Component Analysis for Polarimetric SIMO Radar |
Abstract | ||
|---|---|---|
The presence of mainlobe jamming will significantly reduce the radar detection capabilities. Conventional independent component analysis (ICA)-based methods will suffer from the ineffectiveness when the angle of the target is same as that of the jammer. In this paper, exploring polarization characteristics, we propose an approach based on ICA for polarimetric SIMO (P-SIMO) radar to resist mainlobe jamming. Specifically, the signal model of P-SIMO radar accounting for the target and jamming signals is derived. Then, the approach based on ICA is utilized to separate the target component and jamming component while achieving the mainlobe jamming suppression. Finally, the effectiveness and capacities of proposed method are demonstrated by simulations, and the results show that the proposed method outperforms conventional ICA-based method. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/SAM48682.2020.9104389 | 2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM) |
Keywords | DocType | ISSN |
mainlobe jamming suppression,independent component analysis,polarimetric SIMO radar | Conference | 1551-2282 |
ISBN | Citations | PageRank |
978-1-7281-1947-2 | 0 | 0.34 |
References | Authors | |
6 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mengmeng Ge | 1 | 1 | 1.03 |
| Guolong Cui | 2 | 333 | 36.77 |
| Zhenghong Zhang | 3 | 0 | 0.34 |
| Lin Zhou | 4 | 2 | 6.80 |
| Xianxiang Yu | 5 | 29 | 11.97 |
| Feng Yang | 6 | 0 | 0.34 |
| Lingjiang Kong | 7 | 346 | 38.93 |