文献类型：期刊文献

英文题名：Improved vector magnetic field signal-to-noise ratio by wavelet packet transform in the negatively charged nitrogen-vacancy diamond magnetometer

作者：Ye, An[1];Tang, Yutong[1];Li, Xiaolin[1];Niu, Yueping[1];Gong, Shangqing[1]

机构：[1]East China Univ Sci & Technol, Sch Phys, Shanghai 200237, Peoples R China

年份：2025

卷号：256

外文期刊名：MEASUREMENT

收录：;EI(收录号：20252618686176);WOS:【SCI-EXPANDED(收录号:WOS:001522227900012)】；

基金：This work was supported by the National Natural Science Foundation of China (Grants No. 12034007, 12374327) , Major Project of Shanghai Municipal Education Commission, China (Grant No. 2023ZK ZD39) , and Program of Shanghai Academic Research Leader, China (Grant No. 21XD1400700) .

语种：英文

外文关键词：Wavelet packet transform; Nitrogen-vacancy center; SNR improvement; Vector magnetic field measurement

摘要：Negatively charged nitrogen-vacancy (NV-) centers in diamond enable precise vector magnetic fields measurement due to their intrinsic crystallographic structure and spin-dependent optical properties. However, noise is often direction-dependent and non-stationary during the vector measurement process, making it difficult to suppress on each NV axis without prior knowledge of the signals. Here, we apply a wavelet packet transform to the optically detected magnetic resonance (ODMR) signals to reduce noise, achieving a 30 dB improvement in signal-to-noise ratio (SNR). We utilize the comprehensive ranking of wavelet packet energies to automatically identify the frequencies of the magnetic field signal, thereby reducing reliance on a priori magnetic field information. The improved SNR is expected to enable sub-noise-floor weak magnetic fields detection and enhance the angular resolution of the vector field.