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A Novel Frequency-Time Domain Anti-Interference Acquisition Algorithm

  • Liangchen Jiang
  • , Ju Wang*
  • , Can Zhang
  • *此作品的通讯作者
  • Beijing Institute of Technology

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

The operational integrity of single-antenna global navigation satellite system (GNSS) receivers is highly vulnerable to various interference sources. Conventional interference mitigation techniques suppress jamming signals at the cost of distorting the useful GNSS signal, thereby degrading acquisition accuracy and overall system reliability. This paper proposes a novel hybrid interference suppression approach, combining frequency-domain and time-domain signal processing to robustly enhance acquisition performance. Our approach first employs a computationally efficient frequency-domain filter at the pre-correlation stage to mitigate dominant spectral interference. Subsequently, a coefficient-weighted post-correlation filtering stage refines the time-domain output, attenuating low jamming-to-signal ratio (JSR) interference without distorting the useful signal, thereby ensuring accurate and reliable acquisition. The resulting acquisition probabilities confirm that our technique offers a significant performance advantage over state-of-the-art suppression methods. The proposed method achieves an interference suppression performance of up to 85 dB in the single-tone interference scenario, which represents an improvement of approximately 25 dB over post-correlation anti-jamming approaches and about 5 dB over pre-correlation anti-jamming approaches.

源语言英语
主期刊名Proceedings of the 4th International Conference on Sensing, Measurement, Communication and Internet of Things Technologies
编辑Zhenyu Zhao, Peiquan Jin, Mingchuan Zhang
出版商Springer Science and Business Media Deutschland GmbH
898-907
页数10
ISBN(印刷版)9789819582310
DOI
出版状态已出版 - 2026
活动4th International Conference on Sensing, Measurement, Communication and Internet of Things Technologies, SMC-IoT 2025 - Luoyang, 中国
期限: 28 11月 202530 11月 2025

出版系列

姓名Lecture Notes in Electrical Engineering
1597 LNEE
ISSN(印刷版)1876-1100
ISSN(电子版)1876-1119

会议

会议4th International Conference on Sensing, Measurement, Communication and Internet of Things Technologies, SMC-IoT 2025
国家/地区中国
Luoyang
时期28/11/2530/11/25

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