基于光谱复用的里德堡原子接收器压缩频谱感知
Compressive Spectrum Sensing via Spectral Multiplexing in Rydberg Atomic Receiver
AI总结：
提出在波导耦合里德堡原子接收器中利用调频本振实现压缩光谱复用框架，将640 MHz以上带宽压缩至126 kHz原子带宽，压缩比超1000，并通过最大比合并实现约10 dB信噪比增益。
摘要：
里德堡原子接收器具有卓越的灵敏度，但受限于窄瞬时带宽，限制了其在宽带场景中的实际部署。先前的方法通常通过物理拓宽原子响应来扩展带宽，这通常需要辅助电磁场或严格的参数调谐，从而增加了系统整体复杂性。本文提出一种压缩光谱复用框架，在波导耦合里德堡原子接收器中利用调频本振（FMLO）实现。FMLO创建多个并行感知通道，共同构成物理压缩感知矩阵，生成输入信号的多个窄带中频副本。因此，宽带微波频谱被投影到一组窄带原子响应上。实验证明，超过640 MHz带宽的频谱信息可有效压缩到126 kHz的固有原子带宽内，实现超过1000的频谱压缩比。此外，这些输出副本提供固有的测量冗余，并有助于信噪比增强。通过最大比合并，多信道通信所需的每比特能量噪声功率密度比获得了约10 dB的增益。该方法无需辅助场或宽带电子器件，为芯片级量子接收器、延迟关键型感知和下一代无线通信提供了简单且可扩展的途径。
英文摘要：
Rydberg-atomic receivers exhibit exceptional sensitivity yet are fundamentally constrained by the narrow instantaneous bandwidth, limiting their practical deployment in broadband scenarios. Prior approaches typically expand the bandwidth by physically broadening the atomic response, which usually requires auxiliary electromagnetic fields or stringent parameter tuning, thereby increasing overall system complexity. Here, we propose a compressive spectral multiplexing framework implemented in a waveguide-coupled Rydberg atomic receiver using a frequency-modulated local oscillator (FMLO). The FMLO creates multiple parallel sensing channels that collectively constitute a physical compressive sensing matrix, generating multiple narrowband intermediate-frequency replicas of the input signal. Thus, a broadband microwave spectrum is projected onto a set of narrowband atomic responses. It is demonstrated that spectral information spanning a bandwidth of over 640 MHz can be effectively compressed into the intrinsic atomic bandwidth of 126 kHz, achieving a spectrum compression ratio exceeding 1000. Furthermore, these output replicas offer intrinsic measurement redundancy and facilitate signal-to-noise ratio enhancement. An approximate 10 dB gain is achieved in the required bit-energy-to-noise-power-density ratio for multi-channel communication via maximal-ratio combining. This approach requires no auxiliary fields or broadband electronics, providing a simple and scalable pathway for chip-scale quantum receivers, latency-critical sensing, and next-generation wireless communications.
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