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Antenna Gain Calibration Method for Phased Array Wave Spectrometer Based on Particle Swarm Algorithm
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Tianyi XIE1, Qianqian HAN2, Hongli MIAO1, Lei CAO2, Bosen JIANG2, Zhenhua ZHANG2
Journal of Telemetry, Tracking and Command | 2024, 45(1) : 116 - 125
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Journal of Telemetry, Tracking and Command | 2024, 45(1): 116-125
• Radar and Countermeasures •
Antenna Gain Calibration Method for Phased Array Wave Spectrometer Based on Particle Swarm Algorithm
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Tianyi XIE1, Qianqian HAN2, Hongli MIAO1, Lei CAO2, Bosen JIANG2, Zhenhua ZHANG2
Affiliations
  • 1.Ocean University of China, Qingdao 266100, China
  • 2.Beijing Research Institute of Telemetry, Beijing 100076, China
Published: 2024-01-15 doi: 10.12347/j.ycyk.20231103001
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The phased array wave spectrometer is a Ku-band real aperture radar that illuminates the sea surface at small incidence angles to receive sea surface echo power. It extracts three-dimensional sea surface information by removing radar-related factors like EIRP（Effective Isotropically Radiated Power）, antenna patterns, and system loss, which can be measured in a microwave anechoic chamber. However, the antenna pattern's precision is limited, leading to the 'concave' anomaly in the backscatter coefficient profile that hinders wave spectrum inversion. To address this, the paper uses particle swarm optimization to correct integral antenna gain. Validation with flight test data shows a 12% improvement in data reliability, supporting operational wave spectrum production.

Microwave remote sensing  /  Irradiated Integral  /  Antenna pattern  /  Backscatter coefficient
Tianyi XIE, Qianqian HAN, Hongli MIAO, Lei CAO, Bosen JIANG, Zhenhua ZHANG. Antenna Gain Calibration Method for Phased Array Wave Spectrometer Based on Particle Swarm Algorithm[J]. Journal of Telemetry, Tracking and Command, 2024 , 45 (1) : 116 -125 . DOI: 10.12347/j.ycyk.20231103001
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Year 2024 volume 45 Issue 1
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Article Info
doi: 10.12347/j.ycyk.20231103001
  • Receive Date：2023-11-03
  • Online Date：2026-03-19
  • Published：2024-01-15
Article Data
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History
  • Received：2023-11-03
  • Revised：2023-12-17
Funding
Affiliations
    1.Ocean University of China, Qingdao 266100, China
    2.Beijing Research Institute of Telemetry, Beijing 100076, China
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
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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