一种基于脉冲信号时频域存在概率联合感知的噪声频谱跟踪方法
By using a method based on the joint sensing of the time and frequency domain existence probability of pulse signals, the time-domain energy fluctuation characteristics and frequency-domain short-time narrowband characteristics of pulse signals are extracted. This solves the accuracy and robustness problems of noise spectrum estimation under low signal-to-noise ratio and non-stationary background noise conditions in the existing technology, and achieves high-precision and robust tracking of the noise spectrum.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SOUTHEAST UNIV
- Filing Date
- 2023-09-21
- Publication Date
- 2026-07-17
AI Technical Summary
Existing noise spectrum estimation methods struggle to achieve accurate and robust noise spectrum tracking under low signal-to-noise ratio and non-stationary background noise conditions, thus affecting signal processing performance.
The noise spectrum tracking method based on the joint perception of the time and frequency domain existence probability of pulse signals extracts the time-domain energy fluctuation characteristics and the short-time narrowband characteristics of the frequency domain of the pulse signal, perceives the noise spectrum in real time, and tracks it based on the perception results.
Under conditions of low signal-to-noise ratio and strong interference, high-precision and robust tracking of the noise spectrum was achieved, improving the accuracy and robustness of signal processing.
Smart Images
Figure CN117370739B_ABST