wireless communication hardware
时序状态融合自适应跟踪控制网络
Temporal-state fusion adaptive tracking control networkA neural network architecture designed to jointly process consecutive spot images, inter-frame differences, and structured motion states to improve the reliability of tracking fragmented spots caused by atmospheric turbulence. / 一种神经网络架构，旨在联合处理连续光斑图像、帧间差异和结构化运动状态，以提高由大气湍流引起的碎片化光斑跟踪的可靠性。
- Knowledge type
- 工艺技术
- First proposed or discovered
- 2026
- Proposer
- Xiangyu Feng, Haifeng Yao, Youyi Wang, Liang Tang, Kexin Miao, Weihao Wang, Tong Zhang, Wenxuan Cheng
- Creator
- 农场主
- Last updated
- 2026-11-03 16:05:56
Sub-knowledge points
Motion-enhanced temporal perceptionVision-state reliability gatingMulti-task prediction headsSpot-center localizationMotion-trend estimationObservation reliability assessmentDegradation-level discriminationControl-correction prediction
Higher-order knowledge points
No connected node yet
Main parameters and performance indicators
MPE (Mean Pointing Error): 0.91 µ radRMSE (Root-Mean-Square Error): 8.57 µ radTATC-Net: The proposed network architecture
Open problems
No unresolved problem recorded yet
Related literature
ranked by community starsStable tracking of turbulence-disturbed laser communication spots using a time-series state fusion networkOpen source
Related products and links
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Creation and modification trail
1 recordsRecord title: Temporal-state fusion adaptive tracking control network.
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