电子学报2024，Vol.52Issue(3)：719-728,10.DOI:10.12263/DZXB.20220826
GEO卫星机会源近岸海面高度测量性能评估
Performance Assessment of Coastal Sea Surface Height Measurement Using Opportunity-Source Signal from GEO Satellite
摘要
Abstract
It is potential to measure sea surface height using opportunity of source from geostationary earth orbit(GEO)satellites.Most studies focus on the experimental demonstrations,but few works comprehensively assess its perfor-mance.Based on this,the paper evaluates the influence of the signal bandwidth,incoherent integration number,signal-to-noise ratio(SNR)and retracking algorithm on the oceanic altimetry performance.It is found that once the incoherent inte-gration number and SNR are over the optimal incoherent integration number and SNR,the improvements of the altimetry performances are insignificant.Therefore,choosing optical incoherent average number,and designing the receiver antenna gain,radio-frequency gain,and receiver bandwidth to obtain optical SNR are needed.The fitting method can provide a bet-ter precision than the interpolation method.The data from the BeiDou B3I signal and ASTRA 19.2 E satellite experiments are used to assess the GEO opportunity-source altimetry.The experiment results show that for the incoherent average num-ber and SNR over 10 000 and 7 dB,respectively,the altimetry precision of about 0.20 m and 0.10 m can be obtained,re-spectively.Due to multi-frequency or multi-channel transmission,the spectral synthesis is proposed to improve the altime-try precision.The simulation results show that the synthetized signal from 10-channel signals of Zhongwei-1 satellite pro-vides a precision of 3.50 cm and 0.69 cm for the interpolation and fitting method.关键词
地球同步轨道卫星/机会源遥感/海面高度/信号带宽/信噪比/非相干累加Key words
GEO satellite/opportunity-source remote sensing/sea surface height/signal bandwidth/signal-to-noise ratio(SNR)/incoherent integration分类
天文与地球科学引用本文复制引用
王峰,杨东凯..GEO卫星机会源近岸海面高度测量性能评估[J].电子学报,2024,52(3):719-728,10.基金项目
地理信息工程国家重点实验室基金(No.SKLGIE2020-Z-1-1) （No.SKLGIE2020-Z-1-1）
中国博士后科学基金(No.2021M700319) Foundation of State Key Laboratory of Geo-Information Engineering(No.SKLGIE2020-Z-1-1) （No.2021M700319）
China Postdoctoral Science Foundation(No.2021M700319) （No.2021M700319）
