强干扰下BOC信号采集的相干合并和长相干集成

IF 3.1 3区 地球科学 Q1 ENGINEERING, AEROSPACE Navigation-Journal of the Institute of Navigation Pub Date : 2022-01-01 DOI:10.33012/navi.508
Chun Yang, A. Soloviev, A. Vadlamani, J. C. Ha
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引用次数: 3

摘要

针对强射频干扰(RFI)下二进制偏置载波(BOC)信号的独立直接采集,提出了一种相干组合和长相干积分(CCLCI)方案。为了减轻BOC信号的模糊性,采用分谱方法提取BOC信号的上下带,分别作为两个二值相移键控(BPSK)信号处理,最后将结果合并以恢复因分频而造成的损失。CCLCI方案通过建立所需的弱信号来消除强干扰,同时平均噪声和干扰。它利用所有可用的信息(L1和L2,上下带,奇偶芯片,i和q分量),通过在信号分量之间应用相干组合和随时间的长相干积分,然后在必要时进行非相干积累。描述了问题和启用技术。最后分析了GPS射频模拟器的嵌入式实现结果。
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Coherent Combining and Long Coherent Integration for BOC Signal Acquisition under Strong Interference
A coherent combining and long coherent integration (CCLCI) scheme is pre - sented for standalone direct acquisition of binary offset carrier (BOC) signals under strong radio frequency interference (RFI). To mitigate the ambiguity of BOC signals, a split-spectrum method extracts the upper and lower sidebands of a BOC signal, treats them separately as two binary phase shift keying (BPSK) signals, and finally combines the results to recover the loss due to splitting. The CCLCI scheme burns through strong interference by building up the desired weak signal while averaging out noise and interference. It exploits all information available (L1 and L2, upper and lower sidebands, odd and even chips, and I-and Q-components) by applying coherent combining across signal components and long coherent integration over time, followed by noncoherent accumulation if necessary. Issues and enabling techniques are described. The results of an embed - ded implementation in demonstration with a GPS RF simulator are analyzed.
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来源期刊
Navigation-Journal of the Institute of Navigation
Navigation-Journal of the Institute of Navigation ENGINEERING, AEROSPACE-REMOTE SENSING
CiteScore
5.60
自引率
13.60%
发文量
31
期刊介绍: NAVIGATION is a quarterly journal published by The Institute of Navigation. The journal publishes original, peer-reviewed articles on all areas related to the science, engineering and art of Positioning, Navigation and Timing (PNT) covering land (including indoor use), sea, air and space applications. PNT technologies of interest encompass navigation satellite systems (both global and regional), inertial navigation, electro-optical systems including LiDAR and imaging sensors, and radio-frequency ranging and timing systems, including those using signals of opportunity from communication systems and other non-traditional PNT sources. Articles about PNT algorithms and methods, such as for error characterization and mitigation, integrity analysis, PNT signal processing and multi-sensor integration, are welcome. The journal also accepts articles on non-traditional applications of PNT systems, including remote sensing of the Earth’s surface or atmosphere, as well as selected historical and survey articles.
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