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典型文献
Acquisition performance of B1I abounding with 5G signals
文献摘要:
The widespread 5G base stations can be potential jammers for the vulnerable BeiDou B1I receivers due to its low power. Therefore, a novel analytical model is derived for the 5G signal to evaluate its impact on acquisition performance under three decision methods. The good agreement between the Monte Carlo method (MCM) through software defined receiver (SDR) and the derived expressions validates the effectiveness of the proposed algorithm. It can be found that the receivers exhi-bit varied responses for different 5G waveforms and decision strategies. The receiver also shows the least endurances for some kind of 5G waveforms, however, this kind of adverse effect can be cancelled by a reduced interference signal ratio (ISR), an increased integration time or a larger accumulation times.
文献关键词:
作者姓名:
SHANG Peng;WANG Xue;ZOU Decai;CHU Ziyue;GUO Yao
作者机构:
National Time Service Center, Chinese Academy of Sciences, Xi'an 710600, China;University of Chinese Academy of Sciences, Beijing 101408, China;Key Laboratory of Precision Navigation and Timing Technology, Chinese Academy of Sciences,Xi'an 710600, China;Institute of Information Sensing, Xidian University, Xi'an 710600, China;School of Astronomy and Space Science, University of Chinese Academy of Sciences, Beijing 100049, China
引用格式:
[1]SHANG Peng;WANG Xue;ZOU Decai;CHU Ziyue;GUO Yao-.Acquisition performance of B1I abounding with 5G signals)[J].系统工程与电子技术(英文版),2022(03):563-574
A类:
abounding,endurances,cancelled
B类:
Acquisition,performance,B1I,signals,widespread,base,stations,potential,jammers,vulnerable,BeiDou,receivers,due,its,low,power,Therefore,novel,analytical,model,derived,evaluate,impact,acquisition,under,three,decision,methods,good,agreement,between,Monte,Carlo,MCM,through,software,defined,SDR,expressions,validates,effectiveness,proposed,algorithm,It,found,that,exhi,bit,varied,responses,different,waveforms,strategies,also,shows,least,some,kind,however,this,adverse,by,reduced,interference,ISR,increased,integration,larger,accumulation,times
AB值:
0.620039
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