Mitigating the impact of non-ideal PRBS on photonics-assisted compressive sensing systems through complementary PRBS and parallel links

Shiyang Liu; Yang Chen

doi:10.1117/12.3004923

24 November 2023 Mitigating the impact of non-ideal PRBS on photonics-assisted compressive sensing systems through complementary PRBS and parallel links

Shiyang Liu, Yang Chen

Author Affiliations +

Proceedings Volume 12935, Fourteenth International Conference on Information Optics and Photonics (CIOP 2023); 129350W (2023) https://doi.org/10.1117/12.3004923
Event: Fourteenth International Conference on Information Optics and Photonics (CIOP 2023), 2023, Xi’an, China

Abstract

Photonic random demodulator (RD) is a widely studied scheme to realize photonics-assisted compressive sensing (CS). Since CS via an RD requires a pseudo-random binary sequence (PRBS) bit rate that is at least twice the signal’s Nyquist rate, the generation of the ideal PRBS in practical systems requires a very large signal bandwidth and is difficult to achieve, leading to poor mixing results from the RD and limited performance of the photonics-assisted CS system. To solve this problem, in this work, we propose a method to compensate for the poor mixing results by using a complementary PRBS and a parallel optical path, thus achieving better CS results in the case of limited PRBS bandwidth. The feasibility of the proposed method is verified by simulation. When only a 4-Gbps PRBS with a bandwidth limited to 0 to 6 GHz is used and the signal to be sampled is a multi-tone signal lower than 1.6 GHz, it is difficult to reconstruct the multi-tone signal or the quality of the reconstructed signal is poor when the starting point is randomly selected for downsampling due to the non-ideal PRBS. When the complementary PRBS is also limited to 0 to 6 GHz, the quality of the reconstructed signal is also improved in most cases. The method proposed in this work provides a good solution for the realization of CS using photonics-assisted RD in real systems, which can reduce the influence of non-ideal PRBS on signal recovery without expanding the bandwidth of the used PRBS.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

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Shiyang Liu and Yang Chen "Mitigating the impact of non-ideal PRBS on photonics-assisted compressive sensing systems through complementary PRBS and parallel links", Proc. SPIE 12935, Fourteenth International Conference on Information Optics and Photonics (CIOP 2023), 129350W (24 November 2023); https://doi.org/10.1117/12.3004923

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KEYWORDS

Photodetectors

Sampling rates

Compressed sensing

Linear filtering

Signal processing

Microwave photonics

Parallel processing

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