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Photonics-assisted joint spatial-frequency compressive sensing for sparse multiband radio frequency signals using
Optics Express
|September 23, 2025
Summary
This study introduces a novel photonics-assisted system for radio frequency signal sensing, enabling accurate waveform reconstruction and direction-of-arrival estimation for sparse multiband signals. The system simplifies hardware while maintaining high performance in communications and radar applications.
Area of Science:
- Microwave Photonics
- Signal Processing
- Electromagnetics
Background:
- Wideband radio frequency signal sensing requires advanced technologies like microwave photonics for low-loss transmission and electromagnetic immunity.
- Compressive sensing is crucial for reducing sampling rates to match digital signal processing speeds, especially for sparse signals.
Purpose of the Study:
- To propose and verify a photonics-assisted spatial-frequency joint compressive sensing system for sparse multiband radio frequency signals.
- To simplify system architecture and reduce hardware complexity using dual-electrode Mach-Zehnder modulators (DEMZMs).
Main Methods:
- Utilized a multi-antenna array for sensing radio frequency signals in both spatial and frequency domains.
- Employed a modulated wideband converter (MWC) architecture with random demodulator (RD) channels and pseudo-random binary sequences (PRBS).
- Simplified the system by connecting most antenna elements to a single RD channel and using DEMZMs in each RD channel.
Main Results:
- Successfully reconstructed sparse multiband radio frequency signal waveforms within 5 GHz for communications and radar.
- Extracted spatial direction-of-arrival (DOA) information with an accuracy within 1 degree.
- Achieved a bit error rate (BER) of 10^-5 for reconstructed quaternary phase-shift keying (QPSK) symbols at 0 dB signal-to-noise ratio (SNR) with 35 antenna elements.
Conclusions:
- The proposed photonics-assisted spatial-frequency joint compressive sensing system effectively reconstructs sparse multiband RF signals and extracts DOA information.
- The system demonstrates simplified hardware complexity and high performance, suitable for advanced communications and radar applications.
- The technology shows promise for future advancements in wideband RF signal sensing and processing.
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