الملخص
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Reliable positioning, navigation, and timing support intelligent transportation, autonomous systems, and space-air-ground integrated networks. However, global navigation satellite system (GNSS) jamming recognizers that treat each mixture as a separate class are difficult to extend to new combinations. Therefore, this paper proposes SPOC-Net, which decomposes the recognition problem into identifying a set of basic jamming components. Multi-resolution time-frequency features and learned component queries provide evidence for each component type. A high-resolution branch estimates the number of active types, and a structured decoder combines this estimate with component evidence to select a valid set. For training, measured single-component records are the only physical samples used in gradient optimization. Their associated clean in-phase and quadrature (IQ) sequences are combined on demand during training to produce labeled mixtures with different relative powers and jamming-to-noise ratios. Separate measured mixtures from ten training-listed compositions support model selection and decoder calibration; six other compositions are reserved for final testing. Evaluation on 14,220 independently generated, conductively combined, and recorded radio frequency mixtures yields 80.69% exact-set accuracy and a 92.84% micro-averaged F1 score. On combinations excluded from model development, SPOC-Net achieves 80.89% exact-set accuracy, exceeding the strongest comparison method by 18.77 percentage points under the reported protocols.
الكلمات المفتاحية
الموضوع
بيانات النشر
- المجلة
- غير متاح
- وصول مفتوح
- وصول مفتوح أخضر
اقتبس هذه المقالة
APA 7
Zeng, Z., Wang, K., López-Salcedo, J. A., Seco-Granados, G., & Zhang, Z. (2026). SPOC-Net: شبكة التركيب الفوري للبدائية الواحدة للتعرف على مجموعات تشويش GNSS. https://omanscience.com/ar/articles/spoc-net-single-primitive-online-composition-network-for-gnss-jamming-set-recognition
MLA 9
Zeng, Zhihan, et al. "SPOC-Net: شبكة التركيب الفوري للبدائية الواحدة للتعرف على مجموعات تشويش GNSS." https://omanscience.com/ar/articles/spoc-net-single-primitive-online-composition-network-for-gnss-jamming-set-recognition.
شيكاغو (المؤلف–التاريخ)
Zeng, Zhihan, Kaihe Wang, José A. López-Salcedo, Gonzalo Seco-Granados, and Zhongpei Zhang. 2026. "SPOC-Net: شبكة التركيب الفوري للبدائية الواحدة للتعرف على مجموعات تشويش GNSS." https://omanscience.com/ar/articles/spoc-net-single-primitive-online-composition-network-for-gnss-jamming-set-recognition.
هارفارد
Zeng, Z., Wang, K., López-Salcedo, J. A., Seco-Granados, G. and Zhang, Z. (2026) 'SPOC-Net: شبكة التركيب الفوري للبدائية الواحدة للتعرف على مجموعات تشويش GNSS', Available at: https://omanscience.com/ar/articles/spoc-net-single-primitive-online-composition-network-for-gnss-jamming-set-recognition.
فانكوفر
Zeng Z, Wang K, López-Salcedo JA, Seco-Granados G, Zhang Z. SPOC-Net: شبكة التركيب الفوري للبدائية الواحدة للتعرف على مجموعات تشويش GNSS. https://omanscience.com/ar/articles/spoc-net-single-primitive-online-composition-network-for-gnss-jamming-set-recognition
IEEE
Z. Zeng, K. Wang, J. A. López-Salcedo, G. Seco-Granados, and Z. Zhang, "SPOC-Net: شبكة التركيب الفوري للبدائية الواحدة للتعرف على مجموعات تشويش GNSS," https://omanscience.com/ar/articles/spoc-net-single-primitive-online-composition-network-for-gnss-jamming-set-recognition.