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学者姓名：刘锦春
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Abstract ：
Objective Target-tracking control technology is extensively employed in several fields, including aerospace, satellite remote sensing, and laser communication. The Risley-prism system enables the direction of the beam to be altered or the visual axis to be adjusted by controlling the rotation angle of the prism. Compared with alternative mechanical beam-pointing mechanisms, such as gimbal and fast steering mirror mechanisms, the target tracking control system based on Risley-prisms exhibits several advantageous characteristics. These features include a compact structure, high reliability, and high pointing accuracy, which collectively provide the system with a wide range of potential applications. In the case of a traditional beam-pointing mechanism, the relationship between the pose adjustment of the actuator and target motion trajectory is characterized by intuitive linearity. However, there is a nonlinear relationship and strong coupling between the prism rotation angle and visual axis orientation of the Risley prism system, which makes it challenging to accurately determine the prism rotation angle via analytical means. Furthermore, conventional numerical methods have limitations in terms of accuracy and efficiency, which impede the advancement of research and practical applications of the Risley-prism system in target-tracking scenarios. In this study, we report a target-tracking method based on the Risley-prism system using a virtual system, whereby the spatial direction of the outgoing beam of the actual Risley-prism system is mapped. Our basic approach and discoveries provide useful insights into the design of pointing and tracking control systems based on Risley-prisms for time-varying optical targets. Methods A particle swarm-optimized target tracking method based on a virtual system was employed in this study. First, based on the nonparaxial ray-tracing method, a virtual Risley-prism system was constructed to map the spatial direction of the outgoing beam of the actual Risley-prism system. Subsequently, by combining the virtual system model projected by the actual two-prism system with the particle swarm algorithm, multiple possible prism rotation angles (particles) and their corresponding virtual pointing targets were calculated in parallel. Subsequently, if the estimation error between the outgoing beam-pointing of the virtual Risley-prism system and the target to be tracked was less than the actual error, then the actual prism rotation angle was replaced by the estimated prism rotation angle and applied to the actual Risley-prism system. In the next step, the prism rotation angle that best matches the target to be pointed at and tracked was selected based on the interoperability and information-sharing mechanism of the particle swarm algorithm. In addition, the prism angles of the experimental prototype Risley-prism system were adjusted to realize dynamic target tracking. Results and Discussions The prepared Risley-prism system based on the virtual system with the RPSO algorithm presents comparable performance for static target pointing in numerous simulations, and the final convergence accuracy of the proposed RPSO-based Risley-prism system approaches 5‒10 mm (Fig. 6). In addition, when tracking a moving target, the RPSO-based Risley-prism system can converge to the global optimum more quickly than can the PSO-based method, exhibiting a faster convergence speed and higher convergence accuracy (Fig. 8). The results of the simulation analysis show the effect of particle population size on virtual system-based target tracking methods: larger particle populations lead to faster convergence but increased computation (Fig. 9). In the simulation of continuously tracking target points, the estimation error of the virtual system and real error of the Risley-prism system can still converge, indicating that the proposed algorithm still has a stable tracking effect when tracking continuously changing dynamic targets (Fig. 10). The pixel deviation distribution of the 60 target pointing tests demonstrates the excellent performance of the proposed method: the mean pointing error and standard deviation are 9.43 and 10.14 pixel, respectively (Fig. 13). In the static target pointing experiments, the proposed method demonstrates better pointing performance. The fitted circle radius of the pointing error distribution of the proposed method is smaller than that of the two-step method, and the average pointing error, root mean square error, and maximum pointing error of the proposed method are all smaller than those of the two-step method. During the dynamic tracking experiments, the Risley-prism system sequentially achieved the tracking of three targets with a final pixel error of approximately 13.04 pixel, thus demonstrating the excellent performance of the proposed target-tracking method in the application of continuous target tracking. The performance difference in dynamic target pointing tracking shows that the performance of the proposed RPSO-based algorithm is superior to that of the two-step method. The average tracking errors (in pixel) and the root-mean-square (RMS) tracking errors of the two algorithms are as follows: 10.64 pixel and 11.22 pixel (two-step method) and 8.113 pixel and 9.429 pixel (proposed method), respectively. Conclusions This study successfully develops a new Risley-prism system-based target tracking method by introducing a combination of particle swarm optimization and a virtual system into an actual Risley-prism system. The particle swarm method is used to adjust the Risley prism angle and achieve target tracking in the Risley-prism system. To maintain a certain degree of correlation between the virtual and actual systems, a virtual target is constructed based on the deviation of the center of the camera field-of-view from the center of the actual target to be tracked in the x- and y-directions. The error feedback information used to estimate the prism angle in the virtual system is consistent with the tracking error fed back from the actual system, and the prism angle is calculated based on the dynamic changes of the target to be tracked. The simulation and experimental results demonstrate the feasibility of the method for achieving target tracking. In the static target experiments, the average pointing error and standard deviation are 9.43 pixel and 10.14 pixel, respectively, whereas in the dynamic target tracking experiments, the average tracking error is approximately 16 pixel at the three key positions. The proposed method provides a promising method for realizing the target pointing and dynamic target tracking of rotating Risley-prism systems with a wide range of applications. © 2025 Science Press. All rights reserved.
Keyword ：
Bandwidth Bandwidth Bandwidth compression Bandwidth compression Control system analysis Control system analysis Digital communication systems Digital communication systems Image resolution Image resolution Information dissemination Information dissemination Invariance Invariance Particle beam tracking Particle beam tracking Particle tracking Particle tracking Prisms Prisms Satellite communication systems Satellite communication systems Target tracking Target tracking
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| GB/T 7714 | Liu, Jinchun , Luo, Shurong , Huang, Feng . Target Tracking Method for Risley⁃Prism System Based on a Virtual System [J]. | Chinese Journal of Lasers , 2025 , 52 (1) . |
| MLA | Liu, Jinchun 等. "Target Tracking Method for Risley⁃Prism System Based on a Virtual System" . | Chinese Journal of Lasers 52 . 1 (2025) . |
| APA | Liu, Jinchun , Luo, Shurong , Huang, Feng . Target Tracking Method for Risley⁃Prism System Based on a Virtual System . | Chinese Journal of Lasers , 2025 , 52 (1) . |
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Abstract ：
本发明涉及一种基于粒子群算法的旋转双棱镜指向校正方法。包括理想指向模型建模、设备装配误差分析、反向求解算法实现、基于理想模型的实验样机指向测试、样机模型建模、校正参数求解，以及最后的校正参数的实验样机指向精度测试。为了求解实验样机的数学模型，以装配误差为理论基础，粒子群算法为求解方式，完成对设备误差值的求解，从而得到考虑等效误差的旋转双棱镜实验样机的数学模型；为了求解反向算法中的校正参数，以粒子群算法为基本算法，采用仿真遍历的方式完成实际参数的辨识。本发明方法从实际设备出发，解决了大顶角旋转双棱镜指向精度和指向效率不高的问题。在保证了大视场的前提下，提高了指向精度。
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| GB/T 7714 | 沈英 , 黎乐谦 , 黄峰 et al. 一种基于粒子群算法的旋转双棱镜指向校正方法 : CN202111001376.0[P]. | 2021-08-30 . |
| MLA | 沈英 et al. "一种基于粒子群算法的旋转双棱镜指向校正方法" : CN202111001376.0. | 2021-08-30 . |
| APA | 沈英 , 黎乐谦 , 黄峰 , 刘锦春 . 一种基于粒子群算法的旋转双棱镜指向校正方法 : CN202111001376.0. | 2021-08-30 . |
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Abstract ：
The Risley-prism system has a great application prospect in target tracking with the aim of both large field of view and high precision due to its extension of the field of view. Although increasing the prism vertex angle enlarges the magnification of the field of view, it also expands the influence of the system assembly error on the target pointing accuracy. Considering the low pointing accuracy of the Risley-prism system with a large vertex angle, this paper proposes a method of correcting the pointing error of the Risley-prism system based on the particle swarm algorithm. A Risley-prism imaging system is built with a prism vertex angle of 14.85° and a prism refractive index of 1.515. A mathematical model of an experimental prototype based on assembly error analysis is built by using pointing test results of the ideal model. Parameter identification of the setting values of the prism vertex angle and the prism refractive index in the reverse solution algorithm is conducted. Finally, a pointing test is carried out on the experimental prototype. The experimental results demonstrate that the proposed method effectively improves the pointing accuracy of the Risley-prism system with a large prism vertex angle. When the method is applied, the maximum pointing error decreases by 52.4%, and the average pointing error reduces by 43.3%. The root-mean-square error decreases by 44.0%, and the fitting radius of the least squares method decreases by 44.7%. © 2021, Chinese Lasers Press. All right reserved.
Keyword ：
Error correction Error correction Least squares approximations Least squares approximations Mean square error Mean square error Prisms Prisms Refractive index Refractive index Target tracking Target tracking
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| GB/T 7714 | Shen, Ying , Li, Leqian , Huang, Feng et al. Pointing Error Correction of Risley-Prism System Based on Particle Swarm Algorithm [J]. | Acta Optica Sinica , 2021 , 41 (24) . |
| MLA | Shen, Ying et al. "Pointing Error Correction of Risley-Prism System Based on Particle Swarm Algorithm" . | Acta Optica Sinica 41 . 24 (2021) . |
| APA | Shen, Ying , Li, Leqian , Huang, Feng , Ren, He , Liu, Jinchun . Pointing Error Correction of Risley-Prism System Based on Particle Swarm Algorithm . | Acta Optica Sinica , 2021 , 41 (24) . |
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Abstract ：
旋转双棱镜系统具有扩大视场的特点,在大视场、高精度目标跟踪领域具有广泛的应用前景。通过增大棱镜顶角可以提高视场放大倍率,但同时增大了系统装配误差对目标指向精度的影响。针对大顶角旋转双棱镜系统指向精度不高的问题,提出一种基于粒子群算法的旋转双棱镜指向误差校正方法,搭建了棱镜顶角为14.85°、棱镜折射率为1.515的旋转双棱镜成像系统;基于理想模型的指向测试结果,建立了基于装配误差分析的实验样机数学模型,实现对反向求解算法中棱镜顶角设定值和折射率设定值的参数辨识,最后在实验样机中进行指向测试。实验结果表明该方法可以有效提高大顶角棱镜的旋转双棱镜系统的指向精度,校正前后的最大指向误差减小了52.4...
Keyword ：
大顶角棱镜 大顶角棱镜 指向误差校正 指向误差校正 旋转双棱镜 旋转双棱镜 棱镜 棱镜 测量 测量 粒子群算法 粒子群算法
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| GB/T 7714 | 沈英 , 黎乐谦 , 黄峰 et al. 基于粒子群算法的旋转双棱镜指向误差校正方法 [J]. | 光学学报 , 2021 , 41 (24) : 139-148 . |
| MLA | 沈英 et al. "基于粒子群算法的旋转双棱镜指向误差校正方法" . | 光学学报 41 . 24 (2021) : 139-148 . |
| APA | 沈英 , 黎乐谦 , 黄峰 , 任和 , 刘锦春 . 基于粒子群算法的旋转双棱镜指向误差校正方法 . | 光学学报 , 2021 , 41 (24) , 139-148 . |
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针对船舶动力机械装置未知时变窄带噪声的有源控制问题,基于锁相环信号跟踪生成原理,通过在锁相环中引入次级通道执行机构,推导了新的未知时变窄带噪声有源控制方法.首先,通过EPLL(Enhanced Phase Locked Loop)环节中引入次级通道,形成基于EPLL的未知时变窄带噪声有源控制方法;其次,通过近似分析得到其等效线性差分方程,研究了窄带噪声信号幅值和次级通道特性对算法收敛性能的影响;再次,通过引入幅值归一化和次级通道归一化改进措施,提出了基于Pseudolinear(PL)-EPLL的窄带噪声控制方法.相比原方法,改进算法幅值、频率/相位收敛方程的收敛特性与窄带噪声信号幅值和次级通...
Keyword ：
噪声抵消 噪声抵消 时变 时变 窄带噪声 窄带噪声 锁相环 锁相环
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| GB/T 7714 | 刘锦春 , 张春辉 , 沈惠杰 et al. 基于PL-EPLL的未知时变窄带噪声有源控制方法 [J]. | 电子学报 , 2020 , 48 (06) : 1140-1148 . |
| MLA | 刘锦春 et al. "基于PL-EPLL的未知时变窄带噪声有源控制方法" . | 电子学报 48 . 06 (2020) : 1140-1148 . |
| APA | 刘锦春 , 张春辉 , 沈惠杰 , 袁建 . 基于PL-EPLL的未知时变窄带噪声有源控制方法 . | 电子学报 , 2020 , 48 (06) , 1140-1148 . |
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针对船舶机械未知时变谐波噪声的主动控制问题,基于正交锁相环原理,提出了一种归一化QPLL(Quadrature Phase Locked Loop)的未知时变谐波噪声主动控制方法.通过在相位/频率更新结构中引入参数调整因子,形成一种改进的QPLL结构;引入次级通道,设计并提出了基于QPLL的未知时变谐波噪声控制算法.首先,通过平均化理论和线性化方法,分析该算法的稳定性,指出了次级通道特性和谐波信号幅值对该算法收敛性能的影响;其次,基于分析结果,引入次级通道、幅值归一化措施,形成一种归一化的未知时变谐波噪声主动控制算法,提升稳定性能和收敛速度;最后,通过仿真验证了归一化改进措施对未知时变谐波噪声...
Keyword ：
噪声主动控制 噪声主动控制 时变 时变 未知频率 未知频率 谐波 谐波
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| GB/T 7714 | 刘锦春 , 袁建 , 黄峰 et al. 一种归一化QPLL的未知时变谐波噪声主动控制算法 [J]. | 电子学报 , 2020 , 48 (11) : 2186-2195 . |
| MLA | 刘锦春 et al. "一种归一化QPLL的未知时变谐波噪声主动控制算法" . | 电子学报 48 . 11 (2020) : 2186-2195 . |
| APA | 刘锦春 , 袁建 , 黄峰 , 沈惠杰 , 张春辉 , 杨理华 . 一种归一化QPLL的未知时变谐波噪声主动控制算法 . | 电子学报 , 2020 , 48 (11) , 2186-2195 . |
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Abstract ：
To tackle the problem of active cancellation of unknown and time-varying narrowband signal caused by the ship power engineering equipment, an active noise control algorithm for suppressing unknown and time-varying narrowband noise is proposed based on the concept of signal tracking and generation in the phase locked loop (PLL). Firstly, with the introduction of secondary path in the enhanced phase locked loop (EPLL), an active algorithm is developed; secondly, with the approximation analysis, the differential equation of the EPLL-based algorithm is carried out to derive its performance relationship with the input signal amplitude and the secondary path. With normalizing of amplitude and secondary path, an improved pseudolinear (PL)-EPLL based active noise algorithm is derived. Compared to the EPLL-based algorithm, the convergence performance of the estimated amplitude, frequency/phase equation is independent with the amplitude of unknown narrowband signal and secondary path. Besides, the convergence performance is consistent when the noise source is composed of multi-frequency sinusoidal with different signal noise ratio. Finally, simulations conducted validate the effectiveness of the proposed PL-EPLL based active noise control. © 2020, Chinese Institute of Electronics. All right reserved.
Keyword ：
Active noise control Active noise control Approximation algorithms Approximation algorithms Differential equations Differential equations Phase locked loops Phase locked loops Time varying control systems Time varying control systems
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| GB/T 7714 | Liu, Jin-Chun , Zhang, Chun-Hui , Shen, Hui-Jie et al. PL-EPLL Based Active Control Algorithm for Unknown and Time-Varying Narrowband Noise [J]. | Acta Electronica Sinica , 2020 , 48 (6) : 1140-1148 . |
| MLA | Liu, Jin-Chun et al. "PL-EPLL Based Active Control Algorithm for Unknown and Time-Varying Narrowband Noise" . | Acta Electronica Sinica 48 . 6 (2020) : 1140-1148 . |
| APA | Liu, Jin-Chun , Zhang, Chun-Hui , Shen, Hui-Jie , Yuan, Jian . PL-EPLL Based Active Control Algorithm for Unknown and Time-Varying Narrowband Noise . | Acta Electronica Sinica , 2020 , 48 (6) , 1140-1148 . |
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Based on the requirements of underwater acoustic stealth, the classification and research background of acoustic coatings are introduced herein. The research significance of acoustic coatings is expounded from the perspective of both the military and civilian use. A brief overview of the conventional design process of acoustic coatings is presented, which describes the substrates used in different countries. Aimed at the local design of acoustic coatings, research progress on passive and semi-active/active sound absorption structure is summarized. Focused on the passive acoustic coatings; acoustic cavity design and optimization, acoustic performance of acoustic coatings with rigid inclusions or scatterers, and acoustic coatings with a hybrid structure are discussed. Moreover, an overview of the overall design of acoustic coatings based on the sound field characteristics of the submarine is also presented. Finally, the shortcomings of the research are discussed, breakthroughs in acoustic coating design research are forecast, and the key technical issues to be solved are highlighted.
Keyword ：
acoustic characteristics of a submarine acoustic characteristics of a submarine acoustic coating acoustic coating acoustic stealth acoustic stealth active sound absorption active sound absorption finite element method (FEM) finite element method (FEM) passive sound absorption passive sound absorption
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| GB/T 7714 | Bai, Hongbai , Zhan, Zhiqiang , Liu, Jinchun et al. From Local Structure to Overall Performance: An Overview on the Design of an Acoustic Coating [J]. | MATERIALS , 2019 , 12 (16) . |
| MLA | Bai, Hongbai et al. "From Local Structure to Overall Performance: An Overview on the Design of an Acoustic Coating" . | MATERIALS 12 . 16 (2019) . |
| APA | Bai, Hongbai , Zhan, Zhiqiang , Liu, Jinchun , Ren, Zhiying . From Local Structure to Overall Performance: An Overview on the Design of an Acoustic Coating . | MATERIALS , 2019 , 12 (16) . |
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