Photonic Compressive Sampling of Sparse Broadband RF Signals using a Multimode Fiber

Abstract

We propose a photonic compressive sampling scheme based on multimode fiber for radio spectrum sensing, which shows high accuracy and stability, and low complexity and cost. Pulse overlapping is utilized for a fast detection.

Compressive sampling of RF chirp signals with multimode fiber and photonic time stretch

“…The MMF uses a stepped multimode fiber with a length of 1 m and core diameter of 50μm. According to our design [16] , the dispersion of DCF1 is D =-150 𝑝𝑠/ (𝑛𝑚 • 𝑘𝑚) with a length of 1 L = 1.1 𝑘𝑚. The dispersion of the DCF2 is the same as that of the DCF1, with a length ( )…”

“…In our previous work [16] , our photonic CS system have demonstrated the ability to detect broadband sparse RF signals with high accuracy and very short detection time window. We take the advantages of high-speed detection and use it to detect LFM RF signals, which is linearly time-varying in frequency.…”

“…Finally, the Lasso sparse reconstruction algorithm is used to recover the chirped RF signals. To further reduce the cost and complexity of the system [16] , we simplified the previous experimental system by replacing the dual output Mach-Zehnder modulator (MZM) to a single output MZM. A Booster optical amplifier (BOA) is adopted to compensate the link loss and increase the signal-noise ratio (SNR) of the measurements.…”