一种面向高速移动场景的区间搜索式多普勒频偏估计系统
By employing channel sensing and an adaptive multi-level interval shrinkage search module, frequency offset fuzzy decoupling, and closed-loop parameter control, the real-time and robustness issues of Doppler frequency offset estimation in high-speed mobile scenarios are resolved. This achieves high-precision, stable, and secure frequency offset estimation, adapting to the channel characteristics of high-speed mobile communication scenarios.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SOUTH CHINA UNIV OF TECH
- Filing Date
- 2026-05-07
- Publication Date
- 2026-07-17
AI Technical Summary
Existing Doppler frequency offset estimation techniques cannot simultaneously achieve convergence speed and coverage of large dynamic frequency offsets in high-speed mobile edge communication scenarios. Furthermore, they are prone to estimation lock loss in scenarios with sudden frequency offset changes, failing to guarantee the real-time performance and robustness of the estimation. Moreover, they lack effective mechanisms for identifying and decoupling fuzzy recognition of frequency offset folding at integer multiple sampling rates, making it impossible to achieve high-precision, high-stability, and high-security large-scale deployment on low-computing-power edge terminals.
By employing a channel sensing module, an adaptive multi-level interval shrinkage search module, a frequency offset fuzzy decoupling module, a frequency offset fine calibration module, and a closed-loop parameter control module, and combining channel sensing with terminal motion parameters, the search interval and parameters are adaptively adjusted. Combined with multi-antenna federated fusion and privacy protection, the adaptive adjustment and accurate identification of frequency offset estimation are achieved, adapting to the channel characteristics of high-speed mobile scenarios.
By using adaptive multi-level interval shrinkage search and closed-loop parameter adjustment, the convergence speed and stability of frequency offset estimation are improved, integer frequency offset estimation error is eliminated, high-precision frequency offset estimation is achieved, and lightweight deployment is carried out on low-computing-power edge terminals to ensure the stability and security of the system.
Smart Images
Figure CN122160225B_ABST