作者单位
摘要
北京机械设备研究所,北京 100000
主要研究了“低慢小”目标多体制**分配问题。针对传统模型在实战场景应用中存在的不足,分析激光、无线电及柔性网3种**在拦截“低慢小”目标时的限制因素,推导在空间、时间、资源及环境等方面的约束条件,引入**拦截权重因子,建立用于“低慢小”目标的多体制**分配优化模型,利用遗传算法对其进行求解。通过仿真算例与传统模型计算结果的对比,验证所建优化模型具有更高的计算效率,得到的分配方案更具可行性及合理性,可为多体制**目标分配问题的研究提供更好的解决思路。
“低慢小”目标 **分配 遗传算法 LSS target weapon assignment genetic algorithm 
电光与控制
2022, 29(3): 1
Author Affiliations
Abstract
1 State Key Laboratory of Quantum Optics and Quantum Optics Devices, Institute of Opto-Electronics, Shanxi University, Taiyuan 030006, China
2 Collaborative Innovation Center of Extreme Optics, Shanxi University, Taiyuan 030006, China
3 College of Physics and Electronic Engineering, Shanxi University, Taiyuan 030006, China
4 School of Science, North University of China, Taiyuan 030051, China
5 School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore
6 College of Science, Zhejiang University of Technology, Hangzhou 310023, China
We designed and demonstrated experimentally a silicon photonics integrated dynamic polarization controller. The overall size of the dynamic polarization controller on chip is 2.830 mm×0.210 mm×1 mm. The modulation bandwidth is 30 kHz. By using a variable step simulated annealing approach, we achieve a dynamic polarization extinction ratio greater than 25 dB. A numerical simulation method was used to optimize the relevant parameters of the dynamic polarization controller. It is expected that the dynamic polarization controller can be utilized in fiber communication systems or silicon photonics integrated quantum communication systems to minimize the size and decrease the cost further.
dynamic polarization controller simulated annealing approach dynamic polarization extinction ratio 
Chinese Optics Letters
2022, 20(4): 041301

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