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高速实时周期性弱脉冲信号检测与简化相加权堆叠
Yanbin Shui1,2, Zhongtao Shen1,2, Xuan Wang1,2
1State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei 230026, China.
The Review of scientific instruments
|August 2, 2023
概括
本研究引入了一种简化相加权堆叠 (PWS) 方法,以有效地检测噪音高的地震数据中的弱周期信号. 这种新技术可以显著提高信号噪声比 (SNR) 在实时,低延迟.
科学领域:
- 勘探 地震学 地震学
- 信号处理 信号处理
- 地质物理学 地质物理学
背景情况:
- 阶段加权堆叠 (PWS) 对于减少地震勘探中的噪音至关重要.
- 现有的PWS方法面临着实时弱信号检测的计算挑战.
- 高重复频率信号需要高效的处理技术.
研究的目的:
- 开发一种简化的PWS方法,降低计算复杂度.
- 为了实时检测弱周期脉冲信号.
- 在地震数据处理中增强信号噪声比 (SNR).
主要方法:
- 一个新的简化PWS算法将复杂平面分为四个象限.
- 简化同一象限内的瞬间阶段.
- 与一位模拟数字转换器和FPGA集成,用于实时处理.
主要成果:
- 简化的PWS算法在弱脉冲信号 (-21dB到-15dB SNR) 中提高了10-15dB的SNR.
- 实现了大约2μs的低延迟,用于实时检测.
- 一个原型成功验证了拟议技术的有效性.
结论:
- 简化的PWS方法为实时弱信号检测提供了一个计算效率高的解决方案.
- 这种技术显著提高了地震数据中的SNR,有助于勘探.
- 基于FPGA的实现可实现高速,低延迟的信号处理.
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