分布式被动定位和分类方法用于多网络频率跳跃时间分割多访问信号多访问信号
Jiaqi Mao1,2, Feng Luo1, Xiaoquan Hu2
1National Key Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China.
Sensors (Basel, Switzerland)
|November 27, 2024
概括
这项研究引入了一种用于准确定位辐射源和分类来自多个站的信号的新方法,即使具有具有挑战性的宽带频率跳跃信号. 该方法提高了定位和分类性能,特别是在低信号对噪声条件下.
科学领域:
- 信号处理 信号处理
- 电磁学 电磁学 电磁学 电磁学
- 阵列信号处理 阵列信号处理
背景情况:
- 目前的方法难以准确地定位和分类宽带辐射源,频率跳跃信号,特别是来自多个网络站的信号.
- 挑战包括波形别名和快速频率跳跃,在复杂的信号环境中降低性能.
研究的目的:
- 为宽带频率跳跃信号提出分布式被动定位和网络站分类方法.
- 解决当前技术的局限性,以在具有挑战性的条件下准确地定位源和信号分类.
主要方法:
- 采用两级参数估计和联合聚类方法.
- 一个两阶段的过结构是为频率点控制过设计的.
- 使用自适应值检测,交叉模糊函数 (CAF) 来估计到达时间差异 (TDOA) 和到达速度差异 (VDOA),以及改进的K-means集群.
主要成果:
- 拟议的方法实现了宽带频率跳跃信号的准确定位和有效信号分类.
- 与现有方法相比,在低信号对噪声 (SNR) 和低快照条件下表现出优异的性能.
- 成功分类来自不同网络站的信号,使用分布式联合自向量和改进的K-平均值.
结论:
- 开发的方法为复杂的电磁环境中的被动定位和信号分类提供了强大的解决方案.
- 它显著提高了定位精度和信号分类效率,特别是在不利的SNR和数据限制下.
- 这项工作提高了来自分布式网络站的信号管理和分析能力.
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