Pulse compression and spectral broadening of stimulated Raman scattering in water via cascading amplification

Dou, Zhenguo; Fang, Wen‐Hui; Sun, Chenglin; Men, Zhiwei

doi:10.1016/j.optcom.2021.127393

Cited by 4 publications

(1 citation statement)

References 28 publications

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“…To optimize the effectiveness of detection, many experts and research teams have carried out extensive work aimed at exploring strategies to enhance the detection performance of radar. Regarding radar signal processing: multipath effect 3 , frequency agility 4 , 5 , radiation energy reduction constraint method 6 , digital filter 7 , a new method for solving ambiguity 8 , time width of pulse compression 9 , spatio-temporal adaptive processing 10 . The above-mentioned techniques have the potential to enhance the radar’s range and anti-interference capability, significantly strengthening its target processing capabilities.…”

Section: Introductionmentioning

confidence: 99%

Formation optimization of airborne radar coordinated detection system using an improved Artificial Fish Swarm Algorithm

Li,

Meng,

Meng

et al. 2024

Sci Rep

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In modern air combat, collaborative detection and engagement among multiple aircraft have gradually become a predominant combat approach. In response to the challenges posed by modern stealth aircraft, although their external factors such as coatings significantly reduce the chances of enemy detection, once these stealth aircraft activate their radar systems, they become susceptible to detection. Therefore, an application model has been proposed to mitigate enemy detection of our stealth aircraft through a collaborative approach. The underlying principle involves employing the concept of multi-aircraft collaboration, where the aircraft are divided into transmitters and receivers. The transmitters emit radar waves while the receivers are responsible for receiving these waves. This approach effectively mitigates the increased probability of enemy detection resulting from the activation of our receivers' radar systems. The optimization problem we aim to address is determining the optimal formation configuration for cooperative flight, specifically a formation with a specific configuration that maximizes the detectable range. This optimization problem is known as the configuration optimization problem for Airborne Radar Network with Separate Transmitting and Receiving (ARN-STAR). Existing methods for this problem typically suffer from limitations in either effectiveness or efficiency. To overcome these limitations, we propose an optimized configuration method based on an improved Artificial Fish Swarm Algorithm (IFSA) for ARN-STAR. Firstly, leveraging the distribution characteristics of the target radar wave’s spatial scattering and the concept of dual-radar spatial diversity, we establish a mathematical model and an optimization objective function for ARN-STAR. Secondly, to address efficiency concerns, we optimize the computational process using the IAFS, successfully improving the speed of computation. To address the issue of effectiveness, we introduce adaptive adjustments to the movement step size of the artificial fish and improve the implementation of the three behavioral modes, thereby avoiding local optima and enhancing the accuracy of finding the optimal configuration. Finally, using our self-developed multi-aircraft collaborative simulation platform, we apply the improved AFSA to obtain the optimal formation configuration scheme and compare it with other methods. Simulation results demonstrate that our proposed method effectively solves the problem of finding the optimal formation configuration in multi-aircraft collaborative detection scenarios with “one transmission and multiple receptions.” It overcomes the low computational efficiency associated with traditional methods while maintaining good accuracy. This approach enables the enhancement of overall combat capabilities while ensuring the safety of our aircraft to the greatest extent possible. It should be noted that the scenarios discussed in this study are at the configurational configuration level between UAVs, rather than involving the design of the UAVs combat control system itself.

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Section: Introductionmentioning

confidence: 99%

Formation optimization of airborne radar coordinated detection system using an improved Artificial Fish Swarm Algorithm

Li,

Meng,

Meng

et al. 2024

Sci Rep

View full text Add to dashboard Cite

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Investigated hydrogen-bond network kinetics of acetone-water solutions by spontaneous and stimulated Raman spectroscopy

Dou

Fang

et al. 2022

Opt. Express

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The hydrogen bond (HB) network structure and kinetics of the acetone-water mixed solutions were investigated by the spontaneous Raman and stimulated Raman scattering (SRS) spectra. The HB network of water molecules was enhanced when the volume fraction of acetone ranged from 0 to 0.25. Two new SRS peaks of water at 3272 and 3380 cm−1 were obtained, resulting from the cooperation of the polar carbonyl (C = O)-enhanced HB and the ice-like structure formed around the methyl groups. However, when the volume fraction went beyond 0.25, the spontaneous Raman main peak at 3445 cm−1 showed a significant blue-shift, and the corresponding SRS signal disappeared, indicating that the HB of water was weakened, which originated from the self-association of acetone. In the meantime, the fully tetrahedral HB structure among water molecules was destroyed at the higher volume fraction (≥ 0.8). Hopefully, our study here would advance the study of HB network structures and kinetics in other aqueous solutions.

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Coherent Raman comb generation in H₂O₂aqueous solutions by crossing-pump stimulated Raman scattering

Wang

Fang

et al. 2022

Opt. Lett.

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The cascaded stimulated Raman scattering (SRS) of 30% H2O2 aqueous solutions was investigated using a pulsed Nd: YAG laser with a wavelength of 532 nm. The transfer of excess electrons between H2O2 and H2O molecules enhanced the SRS. Together, the decomposition of H2O2 and the intense SRS Stokes led to the generation of the crossing-pump effect of H2O2 aqueous solutions and the appearance of a new peak at 4229 cm-1 that is excited by Stokes as the pump source. Crossing-pump not only reduced the threshold but also generated the broadband-coherent Raman comb, defined as a coherent radiation wavelength ranging from 434 to 831 nm (i.e., a Raman shift ranging from –4225 to 6756 cm-1). The anti-Stokes SRS was attributed to the four-wave mixing (FWM) process.

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Pulse compression and spectral broadening of stimulated Raman scattering in water via cascading amplification

Cited by 4 publications

References 28 publications

Formation optimization of airborne radar coordinated detection system using an improved Artificial Fish Swarm Algorithm

Formation optimization of airborne radar coordinated detection system using an improved Artificial Fish Swarm Algorithm

Investigated hydrogen-bond network kinetics of acetone-water solutions by spontaneous and stimulated Raman spectroscopy

Coherent Raman comb generation in H₂O₂aqueous solutions by crossing-pump stimulated Raman scattering

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Pulse compression and spectral broadening of stimulated Raman scattering in water via cascading amplification

Cited by 4 publications

References 28 publications

Formation optimization of airborne radar coordinated detection system using an improved Artificial Fish Swarm Algorithm

Formation optimization of airborne radar coordinated detection system using an improved Artificial Fish Swarm Algorithm

Investigated hydrogen-bond network kinetics of acetone-water solutions by spontaneous and stimulated Raman spectroscopy

Coherent Raman comb generation in H2O2aqueous solutions by crossing-pump stimulated Raman scattering

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Product

Resources

About

Coherent Raman comb generation in H₂O₂aqueous solutions by crossing-pump stimulated Raman scattering