中心博士后邹秀婷的工作——Wideband High-Accuracy Microwave Frequency Measurement and Recognition Enabled by Stimulated Brillouin Scattering（受激布里渊散射实现宽带高精度微波频率测量与识别）的相关成果近期被Optics Express期刊接收发表，该工作得到了国家自然科学基金（T2225023, 62475150）的部分资助。
文章开发了一种基于受激布里渊散射实现的频率-时间映射的高精度宽带微波频率测量系统。该系统目前处于原型阶段，利用宽带线性调频脉冲信号作为本地信号，该信号被调制到泵浦光波上，而检测到的信号被调制到探测光波上。通过分析泵信号中布里渊增益或损耗发生的时间值，可以准确地确定被检测信号的频率。在实验中，该系统成功测量了1 GHz至39 GHz频率范围内的各种信号类型，包括单调、多频、宽带线性调频和Costas调频信号及其组合。该系统测频误差低于20MHz， 均方根误差为9.74 MHz，支持C、X、Ku频段最高12GHz的瞬时带宽。此外，利用布里渊损耗，该系统对9种不同的微波信号类别实现了100%的识别精度，包括0.47 GHz至19.47 GHz范围内的单个和复合信号，这在该领域尚属首次。值得注意的是，这是在系统采样率只有50 MSa/s的情况下完成的，明显低于传统的电子识别技术。这一突破代表了电子侦察和战争的重大进步，为频率测量和信号识别提供了高效的解决方案，减少了计算和硬件要求。
摘要: We have developed a high-accuracy, wideband microwave frequency measurement (MFM) system based on frequency-to-time mapping (FTTM) enabled by stimulated Brillouin scattering (SBS). This system, now at the prototype stage, utilizes a broadband linear frequency modulated (LFM) pulse signal as the local signal, which is modulated onto the pump lightwave, while the detected signals are modulated onto the probe lightwave. By analyzing the time values at which Brillouin gain or loss occurs in the pump signal, the frequency of the detected signal can be accurately determined. In experiments, the system successfully measured various signal types, including monotone, multitone, LFM, and Costas frequency modulated signals, as well as their combinations, across a frequency range of 1 GHz to 39 GHz. The system achieves a frequency measurement error below 20 MHz, with a root mean square error (RMSE) of 9.74 MHz, and supports an instantaneous bandwidth of up to 12 GHz across C, X, and Ku bands. Furthermore, leveraging Brillouin loss, the system achieves 100% recognition accuracy for nine distinct microwave signal categories, including both individual and composite signals ranging from 0.47 GHz to 19.47 GHz—a first in the field. Notably, this is accomplished at a system sampling rate of only 50 MSa/s, significantly lower than traditional electronic recognition techniques. This breakthrough represents a significant advancement in electronic reconnaissance and warfare, offering a highly effective solution for frequency measurement and signal recognition with reduced computational and hardware requirements.