Geometric representation method of signal space of space terahertz communication network
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- THE 32008TH UNIT OF THE PEOPLES LIBERATION ARMY OF CHINA
- Filing Date
- 2026-03-16
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies have failed to effectively address the geometric representation of signal space in spatial terahertz communication networks, especially in the presence of interference signals, making it difficult to achieve highly stable and accurate measurement and unified description of signal feature differences.
Based on information geometry theory, this paper uses information divergence to measure the difference between points on a statistical manifold. Through reasonable statistical manifold modeling, it realizes the geometric representation of random signals in the signal space, including the representation of the signal itself, the geometric representation of the source signal and the interference signal, KL divergence representation and geometric determination method, and separates the source signal and the interference signal.
It achieves a unified description and differentiated measurement of signal characteristics for complex signals of different categories in a signal space lacking prior knowledge, improves the accuracy and precision of geometric representation of signal space, and simplifies abstract operations and optimization design.
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