Chinese Optics, Volume. 18, Issue 3, 641(2025)
Echo state network-based data recovery method for low-low satellite-to-satellite tracking missions in laser interferometry
Fig. 2. Flowchart of accelerometer data prediction by echo state network
Fig. 4. Prediction results of ESN model data. (a) Along orbit direction; (b) along orbit plane normal direction; (c) along orbit radial direction
Fig. 5. Detailed results along the three axes. (a) Along orbit direction; (b) along orbit plane normal direction; (c) along orbit radial direction
Fig. 6. Amplitude spectral density of residual acceleration for GRACE mission. (a) Along orbit direction; (b) along orbit plane normal direction; (c) along orbit radial direction
Fig. 7. Amplitude spectral density of residual acceleration for GFO mission. (a) Along orbit direction; (b) along orbit plane normal direction; (c) along orbit radial direction
Table 1. Training data source
View tableView in ArticleTable 1. Training data source
文件名 数据标识 数据描述 ACC1B lin_accl_x、lin_accl_y、lin_accl_z 线性加速度 GNV1B xpos、ypos、zpos GPS坐标 SCA1B quatangle、quaticoeff、quatjcoeff、quatkcoeff 四元数
Table 2. Hyperparameter settings of ESN
View tableView in ArticleTable 2. Hyperparameter settings of ESN
超参数名称 参数范围 设定值 储层神经元个数 [150, 500] 347 谱半径 [0.5, 1.6] 0.95 输入缩放因子 [0.1, 0.5] 0.25 泄露率 [0.05, 0.6] 0.30
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Hong JIANG, Zhen-dong YAO, Li-wei YANG, Peng XU, Li'e QIANG. Echo state network-based data recovery method for low-low satellite-to-satellite tracking missions in laser interferometry[J]. Chinese Optics, 2025, 18(3): 641
Category: Special Column on Space-based Gravitational Wave Detection
Received: Sep. 29, 2024
Accepted: Dec. 17, 2024
Published Online: Jun. 16, 2025
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