Evaluating entropy rate of laser chaos and shot noise

Guo, Xiaojie; Liu, Tong; Wang, Lijing; Fang, Xin; Zhao, Tong; Virte, Martin; Guo, Yanqiang

doi:10.1364/oe.380213

Cited by 14 publications

(10 citation statements)

References 38 publications

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“…In COF, the chaos bandwidth is lower than the PCF chaos bandwidth for most of low values of feedback [9,17]. As the feedback increases, both simulations [17] and experiments [31], observe a decrease of the PE(τ ).…”

Section: F Influence Of the Pump Currentmentioning

confidence: 88%

Optimized properties of chaos from a laser diode

et al. 2021

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HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

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Section: F Influence Of the Pump Currentmentioning

confidence: 88%

Optimized properties of chaos from a laser diode

et al. 2021

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“…It is an important quantitative tool to evaluate the uncertainty of information generation, transmission, and reception. In recent years, many studies using entropy as an evaluation metric to improve performance have emerged in various fields, such as image quality assessment [ 24 , 25 ], beam complexity analysis [ 26 ], laser chaotic signal evaluation [ 27 , 28 ], fuzzy clustering [ 29 , 30 ], quantum communication [ 31 , 32 ], etc. In photon-counting LiDAR, the process of range measurement can be regarded as an information transmission model, and the uncertainty of the distribution of the signal and noise is completely different.…”

Section: Introductionmentioning

confidence: 99%

Prediction of the Number of Cumulative Pulses Based on the Photon Statistical Entropy Evaluation in Photon-Counting LiDAR

Huang

Zhang

Cen

et al. 2023

Entropy

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Photon-counting LiDAR encounters interference from background noise in remote target detection, and the statistical detection of the accumulation of multiple pulses is necessary to eliminate the uncertainty of responses from the Geiger-mode avalanche photodiode (Gm-APD). The cumulative number of statistical detections is difficult to select due to the lack of effective evaluation of the influence of the background noise. In this work, a statistical detection signal evaluation method based on photon statistical entropy (PSE) is proposed by developing the detection process of the Gm-APD as an information transmission model. A prediction model for estimating the number of cumulative pulses required for high-accuracy ranging with the background noise is then established. The simulation analysis shows that the proposed PSE is more sensitive to the noise compared with the signal-to-noise ratio evaluation, and a minimum PSE exists to ensure all the range detections with background noise are close to the true range with a low and stable range error. The experiments demonstrate that the prediction model provides a reliable estimation of the number of required cumulative pulses in various noise conditions. With the estimated number of cumulative pulses, when the signal photons are less than 0.1 per pulse, the range accuracy of 4.1 cm and 5.3 cm are obtained under the background noise of 7.6 MHz and 5.1 MHz, respectively.

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“…It is worth noting that the entropy of chaos is enhanced, while the TDS is suppressed [ 28 ]. Due to the advantages of permutation entropy (PE) including easy measurement and strong robustness [ 29 ], the PE value at the delay time of external cavity has been applied to experimentally quantify the complexity and weak-strong chaos transition [ 30 , 31 , 32 ]. The effect of noise on the PE of nonlinear dynamical systems is also analyzed [ 33 ].…”

Section: Introductionmentioning

confidence: 99%

Chaotic Time-Delay Signature Suppression and Entropy Growth Enhancement Using Frequency-Band Extractor

Guo

Liu

Zhao

et al. 2021

Entropy

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By frequency-band extracting, we experimentally and theoretically investigate time-delay signature (TDS) suppression and entropy growth enhancement of a chaotic optical-feedback semiconductor laser under different injection currents and feedback strengths. The TDS and entropy growth are quantified by the peak value of autocorrelation function and the difference of permutation entropy at the feedback delay time. At the optimal extracting bandwidth, the measured TDS is suppressed up to 96% compared to the original chaos, and the entropy growth is higher than the noise-dominated threshold, indicating that the dynamical process is noisy. The effects of extracting bandwidth and radio frequencies on the TDS and entropy growth are also clarified experimentally and theoretically. The experimental results are in good agreements with the theoretical results. The skewness of the laser intensity distribution is effectively improved to 0.001 with the optimal extracting bandwidth. This technique provides a promising tool to extract randomness and prepare desired entropy sources for chaotic secure communication and random number generation.

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Evaluating entropy rate of laser chaos and shot noise

Cited by 14 publications

References 38 publications

Optimized properties of chaos from a laser diode

Optimized properties of chaos from a laser diode

Prediction of the Number of Cumulative Pulses Based on the Photon Statistical Entropy Evaluation in Photon-Counting LiDAR

Chaotic Time-Delay Signature Suppression and Entropy Growth Enhancement Using Frequency-Band Extractor

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