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Overview of Radar High-speed Target Detection Algorithms Based on Long Time Accumulation
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Huan XU, Shang SHANG, Yishan SHI
Journal of Telemetry, Tracking and Command | 2024, 45(2) : 89 - 98
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Journal of Telemetry, Tracking and Command | 2024, 45(2): 89-98
Radar and Countermeasures
Overview of Radar High-speed Target Detection Algorithms Based on Long Time Accumulation
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Huan XU, Shang SHANG, Yishan SHI
Affiliations
  • Jiangsu University of Science and Technology, Zhenjiang Ocean College, 212000, China
doi: 10.12347/j.ycyk.20231205001
Outline
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The development of stealth technology and high-speed aircraft has brought serious challenges to radar target detection, and the long time accumulation technology is an effective method to improve the signal-to-noise ratio (SNR) in the field of signal processing. For high speed and high maneuvering targets, signal accumulation over a long period of time will cause the problem of moving across the range unit and moving across the Doppler unit. The "two-migration" problem will seriously affect the accumulation gain, and the traditional MTD (Moving Target Detection) method has been unable to accumulate the energy of the signal. In order to solve the "two-migration" problem and improve radar detection performance of high-speed targets, many methods have emerged in recent years. Based on the target motion model, this paper will analyze long-term accumulation into three categories:long-term accumulation under uniform radial motion, long-term accumulation under accelerated radial motion, and long-term accumulation under complex radial high-order motion. This paper summarizes and presents the "two-migration" problems and solutions under the corresponding model, aiming to provide reference for subsequent research.

Long-term accumulation  /  Range migration  /  Doppler frequency migration  /  Object detection
Huan XU, Shang SHANG, Yishan SHI. Overview of Radar High-speed Target Detection Algorithms Based on Long Time Accumulation[J]. Journal of Telemetry, Tracking and Command, 2024 , 45 (2) : 89 -98 . DOI: 10.12347/j.ycyk.20231205001
Year 2024 volume 45 Issue 2
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doi: 10.12347/j.ycyk.20231205001
  • Receive Date:2023-12-05
  • Online Date:2026-03-18
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  • Received:2023-12-05
  • Revised:2023-12-30
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    Jiangsu University of Science and Technology, Zhenjiang Ocean College, 212000, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
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占总种数比例
Percentage of
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种数
Number of
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Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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