Advanced technology of high-resolution radar: target detection, tracking, imaging, and recognition
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2019/03/11
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Indian UGC (journal)
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Refrences134
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Citations47
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Teng Long
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Zhennan Liang
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Quanhua Liu
Cite
Long, Teng, et al. “Advanced Technology of High-Resolution Radar: Target Detection, Tracking, Imaging, and Recognition”. Science China Information Sciences, vol. 62, no. 4, 2019, https://doi.org/10.1007/s11432-018-9811-0.
Long, T., Liang, Z., & Liu, Q. (2019). Advanced technology of high-resolution radar: target detection, tracking, imaging, and recognition. Science China Information Sciences, 62(4). https://doi.org/10.1007/s11432-018-9811-0
Long, Teng, Zhennan Liang, and Quanhua Liu. “Advanced Technology of High-Resolution Radar: Target Detection, Tracking, Imaging, and Recognition”. Science China Information Sciences 62, no. 4 (2019). https://doi.org/10.1007/s11432-018-9811-0.
Long T, Liang Z, Liu Q. Advanced technology of high-resolution radar: target detection, tracking, imaging, and recognition. Science China Information Sciences. 2019;62(4).
Journal Categories
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Computer software
Science
Science (General)
Cybernetics
Information theory
Technology
Electrical engineering
Electronics
Nuclear engineering
Electric apparatus and materials
Electric circuits
Electric networks
Technology
Electrical engineering
Electronics
Nuclear engineering
Electronics
Computer engineering
Computer hardware
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| A multicomponent micro-Doppler signal decomposition and parameter estimation method for target recognition | Science China Information Sciences |
| 3 | 2019 |
| 10.1109/TGRS.2017.2733579 | IEEE Transactions on Geoscience and Remote Sensing |
| 2018 | |
| 10.1109/TGRS.2018.2852062 | IEEE Transactions on Geoscience and Remote Sensing |
| 2018 | |
| 10.1109/JSEN.2017.2766670 | 2018 | |||
| Radar HRRP target recognition with deep networks | Pattern Recognition |
| 99 | 2017 |
Refrences Analysis
The category
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics 71
is the most frequently represented among the references in this article. It primarily includes studies from IEEE Transactions on Aerospace and Electronic Systems and IEEE Transactions on Signal Processing. The chart below illustrates the number of referenced publications per year.
Refrences used by this article by year
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| A novel detector for range-spread target detection based on HRRP-pursuing | Measurement |
| 2024 | |
| Multi-Band Radar Based on a Cavity-Less Ultra-Short Optical Pulse Source for Simultaneous Measurement of Distance and Velocity | Journal of Lightwave Technology |
| 2024 | |
| A Synthetic Ultra-Wideband Range Profiling Method for High-Speed Targets Based on Phase-Derived Velocity Measurement | IEEE Transactions on Geoscience and Remote Sensing |
| 2024 | |
A New Extended Target Detection Method Based on the Maximum Eigenvalue of the Hermitian Matrix | Remote Sensing |
| 2024 | |
| An improved phase gradient autofocus algorithm for ISAR phase autofocus problem | The Journal of Supercomputing |
| 2023 |
Citations Analysis
The category
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks 24
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Key Algorithms of Video Target Detection and Recognition in Intelligent Transportation Systems and was published in 2019. The most recent citation comes from a 2024 study titled A New Extended Target Detection Method Based on the Maximum Eigenvalue of the Hermitian Matrix. This article reached its peak citation in 2023, with 12 citations. It has been cited in 31 different journals, 29% of which are open access. Among related journals, the IEEE Transactions on Geoscience and Remote Sensing cited this research the most, with 5 citations. The chart below illustrates the annual citation trends for this article.