PC-SVD Algorithm to suppress Ground Clutter
There is High Frequency Surface Wave Radar utilizes vertically polarized high-frequency electromagnetic waves for coastal roundabout propagation, exhibiting low attenuation and the ability to follow the earth's curvature. Operating within the resonance range of aircraft and ships, its tens-of-meter wavelength renders existing stealth coatings ineffective, providing a unique advantage in anti-stealth, anti-low-altitude surprise defense, and over-the-horizon detection. However, when vertically polarized electromagnetic waves irradiate the ground, the reflection coefficient is high due to the perpendicular orientation of the electric field relative to the surface, resulting in a strong return signal. Conversely, horizontally polarized electromagnetic waves exhibit a low reflection coefficient, as the electric field is parallel to the ground, leading to a weaker return signal. So vertically polarized antennas are only used as transceiver antennas to detect low-speed maneuvering targets within ground clutter remains challenging. This paper introduces a novel approach to address this issue by augmenting the original vertical polarization receiver array with a horizontally polarized receiver array, enabling the collection of horizontally polarized signals without altering the transmitter-receiver array antenna configuration. Analysis of polarization array signal processing revealed that while the ground clutter signal received by the vertical polarization antenna significantly exceeded that of the horizontal polarization antenna, such disparity was not as pronounced for target and other signals. By leveraging measured polarized array signal data, along with echo polarization information and singular value decomposition, a ground clutter subspace was constructed, enabling effective signal separation. This approach successfully suppresses ground clutter in high-frequency surface-wave over-the-horizon radar, facilitating the detection of targets previously obscured by ground clutter.
Authors
- Qiang Yang (ORCID: https://orcid.org/0000-0002-6570-1516)
- Xiangyuan Wang
- S. J. Zhao (ORCID: https://orcid.org/0009-0004-8633-944X)
Institutions
- Harbin Institute of Technology (CN)
- Heilongjiang Institute of Technology (CN)
Publication Details
- Published
- 2024-11-22
- DOI
- https://doi.org/10.1145/3708568.3708587
- Primary Topic
- Advanced Adaptive Filtering Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00