基于区域转移的非平稳抽头延迟线模型构建方法及装置
By dividing the complex urban channel environment into line-of-sight and non-line-of-sight regions and using Markov processes for modeling, the problems of accuracy and computational complexity in line-of-sight and non-line-of-sight conversion identification of existing models are solved, and effective characterization and dynamic adaptation of channel characteristics are achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- NAT UNIV OF DEFENSE TECH
- Filing Date
- 2026-03-31
- Publication Date
- 2026-07-17
AI Technical Summary
Existing non-stationary tap delay line models cannot accurately identify the rapid transition between line-of-sight and non-line-of-sight areas in complex urban scenes, resulting in high computational complexity or low accuracy of the recognition algorithm.
By collecting channel data and GPS data, the system uses root mean square delay spread to divide the line-of-sight and non-line-of-sight regions, and employs Markov processes to model the generation and extinction of channel multipath and region shifts, thereby constructing a channel impulse response model to reduce computational complexity and dynamically track channel changes.
It achieves accurate characterization of complex urban channel environments, reduces computational complexity, adapts to rapid switching between line-of-sight and non-line-of-sight, and dynamically adapts to channel changes.
Smart Images
Figure CN121966766B_ABST