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| 一种新型雷达探测方法 |
| A New Type of Radar Detection Method |
| 投稿时间：2023-06-19 修订日期：2023-06-19 |
| DOI： |
| 中文关键词: 组网雷达 时频同步 匹配滤波 目标探测 |
| 英文关键词: networked radar time-frequency synchronization matched filtering |
| 基金项目:安徽省高校拔尖人才培育项目（gxgnfx2022128） |
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| 中文摘要: |
| 在雷达探测系统中,由于各种噪声的存在,在弱信噪比场景下,目标回波信号往往非常微弱,可能淹没在噪声中,很难被雷达探测到,但它们可能包含重要信息,尤其在军事应用领域。因此,需要采取有效措施来发掘受噪声影响较大的弱信噪比目标。文章采用组网雷达回波数据时空同步融合技术,将多组雷达回波信息时频对齐叠加处理。通过仿真测试,在同等条件下,叠加信号中能有效发掘出普通雷达无法准确识别的目标,采用多种雷达信号测试,该方法依然适用。实验证实该方法效果好、适应范围广,可以拓展到其他雷达信号处理领域,为雷达信号处理提供一种新的思路。 |
| 英文摘要: |
| In radar detection systems, due to various types of noise, target echo signals are often very weak in low SNR scenarios and may be submerged in noise, making it difficult for radar to detect them. However, they may contain important information, especially in military applications. Therefore, effective measures are needed to explore weak SNR targets affected by noise. This article uses the technique of time-space synchronization fusion of networked radar echoes to align and superimpose multiple sets of radar echo information in time and frequency. Through simulation testing, under the same conditions, targets that ordinary radars cannot accurately identify can be effectively explored through the superposition signal. Using multiple types of radar signal tests, this method still applies. Experiments have proved that this method is effective and has a wide range of adaptability, which can be extended to other fields of radar signal processing and provide a new approach for radar signal processing. |
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