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Polarization Diversity Technology Research in Passive Radar Based on Subcarrier Processing

机译:基于副载波处理的无源雷达极化分集技术研究

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摘要

The work in this paper is divided into two parts. The first part is going to investigate the potential benefits of clutter suppression in a polarization filtering technology. The performance of a conventional polarization filter is limited by the complex electromagnetic environment. The subcarrier-based polarization filter (SC-PF) enhances the robustness to the environmental disturbance. The experiment results show that the SC-PF has a better clutter suppression performance compared with a conventional polarization filter. The average signal-to-noise ratio increases about 5 dB in airplane detection and about 8 dB in drone detection. The other part is the preliminary analysis of target polarization characteristics. With the extraction of the polarization amplitude ratio (PAR) of the airplane and drone, the PAR characteristic of airplane fluctuates dramatically and the PAR characteristic of drone fluctuates relatively smooth. Therefore, the difference of PAR characteristics of different targets may be helpful in target classification and recognition.
机译:本文的工作分为两部分。第一部分将研究偏振滤波技术中杂波抑制的潜在好处。常规偏振滤波器的性能受到复杂电磁环境的限制。基于子载波的偏振滤波器(SC-PF)增强了对环境干扰的鲁棒性。实验结果表明,与传统的偏振滤波器相比,SC-PF具有更好的杂波抑制性能。在飞机检测中,平均信噪比增加约5 dB,在无人机检测中,平均信噪比增加约8 dB。另一部分是目标极化特性的初步分析。随着飞机和无人机极化幅度比(PAR)的提取,飞机的PAR特性剧烈波动,无人机的PAR特性相对平稳地波动。因此,不同目标的PAR特征的差异可能有助于目标的分类和识别。

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