针对复杂接收环境的增强洛兰系统解调:一种新的匹配相关性方法,集成口过和模式调制.
Xiangyi Wang1,2, Baorong Yan1,2, Tao Jin1,2
1National Time Service Center, Chinese Academy of Sciences, Xi'an 710600, China.
Sensors (Basel, Switzerland)
|January 28, 2026
概括
这项研究为增强的洛兰 (eLoran) 系统引入了改进的解调方法. 口加工通过抑制噪音和干扰来显著提高性能,综合方法显示出优异的结果.
科学领域:
- 导航系统 导航系统
- 信号处理 信号处理
背景情况:
- 解调对于增强的Loran (eLoran) 定位和定时至关重要.
- 传统的匹配相关算法面临性能限制.
研究的目的:
- 为 eLoran 系统提出新的解调方法.
- 通过整合隙处理和模式调制来提高调制性能.
主要方法:
- 开发了一种与隙处理 (MC-NF) 匹配的相关性解调.
- 通过纳入eLoran的模式调制 (PMC-NF) 进一步修改了MC-NF.
- 分析了影响解调的因素,并评估了对噪声和干扰的性能.
主要成果:
- 切口处理有效地抑制随机噪音和连续波干扰.
- 拟议的MC-NF和PMC-NF方法显著提高了解调性能.
- 在关键点上,PMC-NF的表现优于MC-NF,在关键点上大约有2.8dB的改善.
结论:
- 切口加工是增强eLoran解调的一个有价值的技术.
- 在eLoran系统中,PMC-NF方法提供了卓越的性能.
- 先进的解调技术是改善eLoran定位和定时精度的关键.
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