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An improved bicubic imaging fitting algorithm for 3D radar detection target 认领 引用
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作者 Li Fan-Ruo Yang Feng +3 位作者 Yan Rui Qiao Xu Li Yi-Jin Xing Hong-Jia 《Applied Geophysics》 SCIE CSCD 2022年第4期553-562,604,共10页
3D ground-penetrating radar has been widely used in urban road underground disease detection due to its nondestructive,efficient,and intuitive results.However,the 3D imaging of the underground target body presents the... 3D ground-penetrating radar has been widely used in urban road underground disease detection due to its nondestructive,efficient,and intuitive results.However,the 3D imaging of the underground target body presents the edge plate phenomenon due to the space between the 3D radar array antennas.Consequently,direct 3D imaging using detection results cannot reflect underground spatial distribution characteristics.Due to the wide-beam polarization of the ground-penetrating radar antenna,the emission of electromagnetic waves with a specific width decreases the strong middle energy on both sides gradually.Therefore,a bicubic high-precision 3D target body slice-imaging fitting algorithm with changing trend characteristics is constructed by combining the subsurface target characteristics with the changing spatial morphology trends.Using the wide-angle polarization antenna’s characteristics in the algorithm to build the trend factor between the measurement lines,the target body change trend and the edge detail portrayal achieve a 3D ground-penetrating radar-detection target high-precision fitting.Compared with other traditional fitting techniques,the fitting error is small.This paper conducts experiments and analyses on GpaMax 3D forward modeling and 3D ground-penetrating measured radar data.The experiments show that the improved bicubic fitting algorithm can eff ectively improve the accuracy of underground target slice imaging and the 3D ground-penetrating radar’s anomaly interpretation. 展开更多
关键词 urban underground space safety 3D ground-penetrating radar detection of the abnormal bicubic fitting algorithm high-precision imaging
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Gaussian fitting based optimal design of aircraft mission success space using multi-objective genetic algorithm 认领 引用 被引量：8
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作者 Yuan GAO Yongliang TIAN +1 位作者 Hu LIU Xue SUN 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2020年第12期3318-3330,共13页
In order to obtain the optimized aircraft design concept which meets the increasingly complex operation environment at the conceptual design stage,System-of-systems(So S)engineering must be considered.This paper propo... In order to obtain the optimized aircraft design concept which meets the increasingly complex operation environment at the conceptual design stage,System-of-systems(So S)engineering must be considered.This paper proposes a novel optimization method for the design of aircraft Mission Success Space(MSS)based on Gaussian fitting and Genetic Algorithm(GA)in the So S area.First,the concepts in the design and evaluation of MSS are summarized to introduce the Contribution to System-of-Systems(CSS)by using a conventional effectiveness index,Mission Success Rate(MSR).Then,the mathematic modelling of Gaussian fitting technique is noted as the basis of the optimization work.After that,the proposed optimal MSS design is illustrated by the multiobjective optimization process where GA acts as the search tool to find the best solution(via Pareto front).In the case study,a simulation system of penetration mission was built.The simulation results are collected and then processed by two MSS design schemes(contour and neural network)giving the initial variable space to GA optimization.Based on that,the proposed optimization method is implemented under both schemes whose optimal solutions are compared to obtain the final best design in the case study. 展开更多
关键词 Evaluation Gaussian fitting Genetic algorithm Mission success space Neural network System-of-systems
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Study on Coal Consumption Curve Fitting of the Thermal Power Based on Genetic Algorithm 认领 引用
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作者 Le-Le Cui Yang-Fan Li Pan Long 《Journal of Power and Energy Engineering》 2015年第4期431-437,共7页
Coal consumption curve of the thermal power plant can reflect the function relationship between the coal consumption of unit and load, which plays a key role for research on unit economic operation and load optimal di... Coal consumption curve of the thermal power plant can reflect the function relationship between the coal consumption of unit and load, which plays a key role for research on unit economic operation and load optimal dispatch. Now get coal consumption curve is generally obtained by least square method, but which are static curve and these curves remain unchanged for a long time, and make them are incompatible with the actual operation situation of the unit. Furthermore, coal consumption has the characteristics of typical nonlinear and time varying, sometimes the least square method does not work for nonlinear complex problems. For these problems, a method of coal consumption curve fitting of the thermal power plant units based on genetic algorithm is proposed. The residual analysis method is used for data detection;quadratic function is employed to the objective function;appropriate parameters such as initial population size, crossover rate and mutation rate are set;the unit’s actual coal consumption curves are fitted, and comparing the proposed method with least squares method, the results indicate that fitting effect of the former is better than the latter, and further indicate that the proposed method to do curve fitting can best approximate known data in a certain significance, and they can real-timely reflect the interdependence between power output and coal consumption. 展开更多
关键词 Thermal Power Plant Coal Consumption Curve Unit Least Squares Method Genetic Algorithm Curve Fitting Nonlinear Problems
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A Gradient-Simulated Annealing Algorithm of Pre-location-Based Best Fitting of Blank to Complex Surfaces Machining 认领 引用
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作者 MALi-ming JIANGHong WANGXiao-chun 《Computer Aided Drafting,Design and Manufacturing》 2004年第2期57-63,共7页
The algorithm is divided into two steps. The first step pre-locates the blank by aligning its centre of gravity and approximate normal vector with those of destination surfaces, with largest overlap of projections of ... The algorithm is divided into two steps. The first step pre-locates the blank by aligning its centre of gravity and approximate normal vector with those of destination surfaces, with largest overlap of projections of two objects on a plane perpendicular to the normal vector. The second step is optimizing an objective function by means of gradient-simulated annealing algorithm to get the best matching of a set of distributed points on the blank and destination surfaces. An example for machining hydroelectric turbine blades is given to verify the effectiveness of algorithm. 展开更多
关键词 sculptured surface gradient-simulated annealing algorithm pre-location of blank best fitting
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Iterative circle fitting based on circular attracting factor 认领 引用 被引量：1
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作者 王恒升 张强 王福亮 《Journal of Central South University》 SCIE EI CAS 2013年第10期2663-2675,共13页
An intuitive method for circle fitting is proposed. Assuming an approximate circle(CA,n) for the fitting of some scattered points, it can be imagined that every point would apply a force to CA,n, which all together fo... An intuitive method for circle fitting is proposed. Assuming an approximate circle(CA,n) for the fitting of some scattered points, it can be imagined that every point would apply a force to CA,n, which all together form an overall effect that "draws" CA,n towards best fitting to the group of points. The basic element of the force is called circular attracting factor(CAF) which is defined as a real scalar in a radial direction of CA,n. An iterative algorithm based on this idea is proposed, and the convergence and accuracy are analyzed. The algorithm converges uniformly which is proved by the analysis of Lyapunov function, and the accuracy of the algorithm is in accord with that of geometric least squares of circle fitting. The algorithm is adopted to circle detection in grayscale images, in which the transferring to binary images is not required, and thus the algorithm is less sensitive to lightening and background noise. The main point for the adaption is the calculation of CAF which is extended in radial directions of CA,n for the whole image. All pixels would apply forces to CA,n, and the overall effect of forces would be equivalent to a force from the centroid of pixels to CA,n. The forces from would-be edge pixels would overweigh that from noisy pixels, so the following approximate circle would be of better fitting. To reduce the amount of calculation, pixels are only used in an annular area including the boundary of CA,n just in between for the calculation of CAF. Examples are given, showing the process of circle fitting of scattered points around a circle from an initial assuming circle, comparing the fitting results for scattered points from some related literature, applying the method proposed for circular edge detection in grayscale images with noise, and/or with only partial arc of a circle, and for circle detection in BGA inspection. 展开更多
关键词 circle detection circle fitting grayscale image iterative algorithm least squares fitting(LSF) circular attracting factor(CAF) BGA inspection
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基于Vector Fitting的光伏并网逆变器控制器参数频域辨识方法 认领 引用 被引量：22
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作者 王哲 吕敬 +3 位作者 吴林林 王潇 宗皓翔 蔡旭 《电力自动化设备》 EI CSCD 北大核心 2022年第5期118-124,共7页
光伏并网逆变器通常含有内外环、锁相环等不同带宽控制环节,且控制器参数往往并不可知,即存在“灰箱”问题。为准确辨识不同带宽控制器参数,提出一种基于端口导纳特性的光伏并网逆变器控制器参数频域辨识方法。首先,建立典型控制下光伏... 光伏并网逆变器通常含有内外环、锁相环等不同带宽控制环节,且控制器参数往往并不可知,即存在“灰箱”问题。为准确辨识不同带宽控制器参数,提出一种基于端口导纳特性的光伏并网逆变器控制器参数频域辨识方法。首先,建立典型控制下光伏并网逆变器交流端口的dq理论导纳模型,得到其理论导纳标准式;然后,通过扫频手段获得光伏并网逆变器交流端口的测量导纳数据,并采用Vector Fitting算法对测量的端口导纳数据进行矢量拟合,得到拟合导纳标准式;最后,运用最小二乘原理使理论导纳标准式与拟合导纳标准式对应项系数差值的平方和最小,从而辨识得到光伏并网逆变器控制器参数的估计值。参数辨识实例表明,所提方法能够同时准确辨识出不同带宽控制器参数。 展开更多
关键词 光伏并网逆变器 参数辨识 导纳特性 Vector Fitting算法 多带宽控制
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A reordered first fit algorithm based novel storage scheme for parallel turbo decoder 认领 引用
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作者 张乐 贺翔 +1 位作者 徐友云 罗汉文 《Journal of Shanghai University(English Edition)》 2007年第4期380-384,共5页
In this paper we discuss a novel storage scheme for simultaneous memory access in parallel turbo decoder. The new scheme employs vertex coloring in graph theory. Compared to a similar method that also uses unnatural o... In this paper we discuss a novel storage scheme for simultaneous memory access in parallel turbo decoder. The new scheme employs vertex coloring in graph theory. Compared to a similar method that also uses unnatural order in storage, our scheme requires 25 more memory blocks but allows a simpler configuration for variable sizes of code lengths that can be implemented on-chip. Experiment shows that for a moderate to high decoding throughput （40-100 Mbps）, the hardware cost is still affordable for 3GPP＇s （3rd generation partnership project） interleaver. 展开更多
关键词 turbo codes parallel turbo decoding interleaver vertex coloring reordered first fit algorithm （RFFA） fieldprogrammable gate array （FPGA）.
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Rail Detection Based on LSD and the Least Square Curve Fitting 认领 引用 被引量：5
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作者 Yun-Shui Zheng Yan-Wei Jin Yu Dong 《International Journal of Automation and computing》 CSCD 2021年第1期85-95,共11页
It is necessary to rely on the rail gauge to determine whether the object beside the track will affect train operation safety or not.A convenient and fast method based on line segment detector(LSD)and the least square... It is necessary to rely on the rail gauge to determine whether the object beside the track will affect train operation safety or not.A convenient and fast method based on line segment detector(LSD)and the least square curve fitting to identify the rail in the image is proposed in this paper.The image in front of the train can be obtained through the camera on-board.After preprocessing,it will be divided equally along the longitudinal axis.Utilizing the characteristics of the LSD algorithm,the edges are approximated into multiple line segments.After screening the terminals of the line segments,it can generate the mathematical model of the rail in the image based on the least square.Experiments show that the algorithm in this paper can fit the rail curve accurately and has good applicability and robustness. 展开更多
关键词 Rail inspection line segment detector(LSD)algorithm the least square curve fitting foreign object detection
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No Fit Polygon for Nesting Problem Solving with Hybridizing Ant Algorithms 认领 引用 被引量：1
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作者 Qiang Yang 《Journal of Software Engineering and Applications》 2014年第5期433-439,共7页
In design science, these two kinds of problems are mutually nested, however, the nesting could not blind us for the fact that their problem-solving and solution justification methods are different. The ant algorithms ... In design science, these two kinds of problems are mutually nested, however, the nesting could not blind us for the fact that their problem-solving and solution justification methods are different. The ant algorithms research field, builds on the idea that the study of the behavior of ant colonies or other social insects is interesting, because it provides models of distributed organization which could be utilized as a source of inspiration for the design of optimization and distributed control algorithms. In this paper, a relatively new type of hybridizing ant search algorithm is developed, and the results are compared against other algorithms. The intelligence of this heuristic approach is not portrayed by individual ants, but rather is expressed by the colony as a whole inspired by labor division and brood sorting. This solution obtained by this method will be evaluated against the one obtained by other traditional heuristics. 展开更多
关键词 Genetic Algorithm Search Ant Algorithms No Fit Polygon Simulated Annealing
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GENETIC ALGORITHM WITH FUZZY FITNESS EVALUATION 认领 引用
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作者 Huang JianjunXie Weixin 《Journal of Electronics(China)》 1998年第3期254-258,共5页
Using a fuzzy estimator to evaluate the fitness of chromosomes in a genetic algorithm and adaptively training it in the evolutionary process, the genetic algorithm with fuzzy fitness evaluation is proposed to reduce t... Using a fuzzy estimator to evaluate the fitness of chromosomes in a genetic algorithm and adaptively training it in the evolutionary process, the genetic algorithm with fuzzy fitness evaluation is proposed to reduce the computation time of the algorithm. An analysis on the optimization performance of the proposed algorithm shows that it maintains good performance with its computation time saved. Finally, simulation results on design of a fuzzy controller are presented. 展开更多
关键词 Fuzzy evaluation Fitness function Genetic algorithm Computation time
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Multi-path planning algorithm based on fitness sharing and species evolution 认领 引用
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作者 ZHANG Jing-juan, LI Xue-lian, HAO Yan-ling College of Automation, Harbin Engineering University, Harbin 150001, China 《Journal of Marine Science and Application》 2003年第1期60-65,共6页
A new algorithm is proposed for underwater vehicles multi-path planning. This algorithm is based on fitness sharing genetic algorithm, clustering and evolution of multiple populations, which can keep the diversity of ... A new algorithm is proposed for underwater vehicles multi-path planning. This algorithm is based on fitness sharing genetic algorithm, clustering and evolution of multiple populations, which can keep the diversity of the solution path, and decrease the operating time because of the independent evolution of each subpopulation. The multi-path planning algorithm is demonstrated by a number of two-dimensional path planning problems. The results show that the multi-path planning algorithm has the following characteristics: high searching capability, rapid convergence and high reliability. 展开更多
关键词 genetic algorithm subpopulation evolution fitness sharing multi-path planning
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An improved genetic algorithm for causal discovery 认领 引用
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作者 MAO Tengjiao BU Xianjin +2 位作者 CAI Chunxiao LU Yue DU Jing 《Journal of Systems Engineering and Electronics》 SCIE CSCD 2025年第3期768-777,共10页
The learning algorithms of causal discovery mainly include score-based methods and genetic algorithms(GA).The score-based algorithms are prone to searching space explosion.Classical GA is slow to converge,and prone to... The learning algorithms of causal discovery mainly include score-based methods and genetic algorithms(GA).The score-based algorithms are prone to searching space explosion.Classical GA is slow to converge,and prone to falling into local optima.To address these issues,an improved GA with domain knowledge(IGADK)is proposed.Firstly,domain knowledge is incorporated into the learning process of causality to construct a new fitness function.Secondly,a dynamical mutation operator is introduced in the algorithm to accelerate the convergence rate.Finally,an experiment is conducted on simulation data,which compares the classical GA with IGADK with domain knowledge of varying accuracy.The IGADK can greatly reduce the number of iterations,populations,and samples required for learning,which illustrates the efficiency and effectiveness of the proposed algorithm. 展开更多
关键词 genetic algorithm(GA) causal discovery convergence rate fitness function mutation operator
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基于U-I象空间分布的CT饱和识别及畸变电流重构方法 认领 引用 被引量：3
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作者 李振兴 张星宇 +3 位作者 朱益 翁汉琍 李振华 周吉安 《电力系统保护与控制》 EI CSCD 北大核心 2026年第2期1-12,共12页
电流互感器(current transformer,CT)是各类差动保护的核心元件,但在复杂故障电流特性及幅值显著提升的工况下极易发生饱和。首先,融合测点处电压互感器(potential transformer,PT)提供的电压量信息,通过建立电压-电流耦合关系在二维象... 电流互感器(current transformer,CT)是各类差动保护的核心元件,但在复杂故障电流特性及幅值显著提升的工况下极易发生饱和。首先,融合测点处电压互感器(potential transformer,PT)提供的电压量信息,通过建立电压-电流耦合关系在二维象空间中绘制以电流量为横轴、电压量为纵轴的轨迹曲线,从而抑制CT饱和导致的单一信号失真对状态辨识的干扰。基于轨迹畸变程度与标准椭圆的量化偏差,实现饱和状态的识别及严重程度的分级评估。最后,在线性传变区间内筛选采样点并结合改进的椭圆拟合算法完成象空间分布的整合及畸变电流的重构。在PSCAD/EMTDC平台搭建220 kV输电线路模型及新能源电源接入模型,仿真结果显示,在CT不同饱和类型及严重程度下,所提方法能高效、精确地实现CT饱和状态识别及二次畸变电流的重构。 展开更多
关键词 电流互感器 饱和识别 线性传变 椭圆拟合算法 电流重构
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面向预制构件集成二维布局与生产调度的扰动重启式自适应遗传算法 认领 引用 被引量：1
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作者 熊福力 马和源 +1 位作者 张文柱 陈鑫 《计算机集成制造系统》 EI CSCD 北大核心 2026年第5期1690-1710,共21页
针对预制混凝土构件定点制造模式下二维布局与生产调度的协同优化问题,以最小化拖期惩罚费用为目标,提出了一类双层混合整数线性规划(MILP)模型,并设计了一种扰动重启式递阶最佳适应-自适应遗传算法(PRHBF_AGA)。其中:双层MILP主要用于... 针对预制混凝土构件定点制造模式下二维布局与生产调度的协同优化问题,以最小化拖期惩罚费用为目标,提出了一类双层混合整数线性规划(MILP)模型,并设计了一种扰动重启式递阶最佳适应-自适应遗传算法(PRHBF_AGA)。其中:双层MILP主要用于求解小规模问题,通过第一层模型优化工件分组及模台上的二维布局方案;第二层模型基于第一层模型输出的组数进一步同时优化布局与生产调度方案。而PRHBF_AGA主要用于求解中大规模问题,该算法将问题分为二维布局和生产调度两部分,最佳适应算法优化布局层,自适应遗传算法优化调度层。为防止算法过早收敛而陷入局部最优,引入了变邻域搜索和扰动重启机制进一步提升解的质量和求解效率。此外,设计了6种基于交替迭代优化框架的智能优化算法进行对比分析。最后,通过计算实验验证了所提MILP模型和算法的有效性和竞争力。 展开更多
关键词 预制构件定点制造 二维布局 最佳适应算法 自适应遗传算法 协同优化
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基于超启发算法的二维条带装箱优化研究 认领 引用 被引量：1
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作者 徐翔斌 王祉豪 《兰州交通大学学报》 2026年第3期1-11,共11页
针对二维矩形条带装箱问题,旨在最小化固定宽度条带的排放高度,提升制造与物流环节的空间利用率和装载效率。提出一种融合最佳天际线法与自适应多算子的超启发式算法:首先以多种排序策略结合最佳天际线启发式快速生成高质量初始解;继而... 针对二维矩形条带装箱问题,旨在最小化固定宽度条带的排放高度,提升制造与物流环节的空间利用率和装载效率。提出一种融合最佳天际线法与自适应多算子的超启发式算法:首先以多种排序策略结合最佳天际线启发式快速生成高质量初始解;继而引入基于Metropolis准则的接受判断,并设计11种全局与局部扰动算子,通过自适应权重动态调度算子,实现全局探索与局部开发的平衡。结果表明:在Hopper C类标准算例中,本文算法在7个算例上取得更优高度,其中C5P3算例装箱高度由对比算法的96降至91。在企业真实数据集中,装箱高度由9567 mm降至9445 mm,降低122 mm;在另一组矩形件数据中,算法平均装箱高度为2666 mm,较对比算法的2724 mm降低58 mm。研究表明:该方法以超启发式算法框架和高效的算子调度机制,显著地提升了二维条带装箱的求解精度与鲁棒性,为复杂生产环境下的高效、紧凑装载提供了可落地的技术路线和理论支持。 展开更多
关键词 超启发式算法 条带装箱问题 最佳天际线法
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改进聚类算法区域划分下三维异型凸体铣削规划 认领 引用
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作者 胡伟石 张浩 +4 位作者 邵辉 孙莎莎 洪雪梅 尹方辰 黄吉祥 《华侨大学学报（自然科学版）》 CAS 2026年第1期112-118,共7页
为了提高三维异形曲面铣削效率,提出一种稳定性区域划分与走刀方向优化方法。首先,设计一种基于权重和概率的K-means聚类(WPK-means)算法,通过加权距离和概率函数优化初始聚类中心,实现稳定曲面分区;然后,采用最优曲线拟合法,以最长截... 为了提高三维异形曲面铣削效率,提出一种稳定性区域划分与走刀方向优化方法。首先,设计一种基于权重和概率的K-means聚类(WPK-means)算法,通过加权距离和概率函数优化初始聚类中心,实现稳定曲面分区;然后,采用最优曲线拟合法,以最长截交曲线确定走刀方向,减少进退刀次数,提升材料去除率。最后,通过仿真实验进行有效性验证,并与其他改进的K-means聚类算法进行对比。结果表明:文中算法具有较好的准确率。 展开更多
关键词 概率函数 WPK-means算法 区域划分 最优曲线拟合法
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利用WOA-BP算法的区域GNSS高程异常拟合方法 认领 引用
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作者 李翥 卢献健 +3 位作者 唐长增 宋晓辉 胡鹏程 唐诗华 《桂林理工大学学报》 CAS 北大核心 2026年第1期83-87,共5页
针对区域性GNSS高程拟合模型中选择最佳参数困难的问题,提出了WOA-BP算法的区域GNSS高程异常拟合方法。利用鲸鱼算法(WOA)在全局搜索中寻优能力强、操作简单、调整参数少的特点,为BP神经网络寻找到合适的权值和阈值参数,将优化后的权值... 针对区域性GNSS高程拟合模型中选择最佳参数困难的问题,提出了WOA-BP算法的区域GNSS高程异常拟合方法。利用鲸鱼算法(WOA)在全局搜索中寻优能力强、操作简单、调整参数少的特点,为BP神经网络寻找到合适的权值和阈值参数,将优化后的权值和阈值参数代入到BP神经网络模型中进行训练,从而提高组合算法模型拟合的预测精度和收敛速度。通过实际工程案例中部分GNSS水准重合点数据进行拟合实验,将WOA-BP神经网络算法与BP神经网络、最小二乘支持向量机(LSSVM)法的结果进行对比。结果表明,WOA-BP神经网络模型在使用中具有更强的稳定性、更高的预测精度,可应用于区域GNSS高程拟合的预测。 展开更多
关键词 GNSS高程拟合 BP神经网络 鲸鱼算法
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基于Levy飞行的动态调整策略改进SPSO算法无人机三维航迹规划 认领 引用
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作者 苏世雄 刘洲洲 +1 位作者 田杰 胡秋霞 《工程科学学报》 EI CAS CSCD 北大核心 2026年第8期1821-1829,共9页
针对三维环境中无人机航迹规划问题,在球面矢量粒子群优化算法(Spherical vector-based particle swarm optimization algorithm,SPSO)的基础上提出了一种新的基于Levy飞行的动态调整策略改进球面矢量粒子群优化算法(Spherical vector p... 针对三维环境中无人机航迹规划问题,在球面矢量粒子群优化算法(Spherical vector-based particle swarm optimization algorithm,SPSO)的基础上提出了一种新的基于Levy飞行的动态调整策略改进球面矢量粒子群优化算法(Spherical vector particle swarm optimization algorithm for dynamic adjustment strategy based on Levy flight,LDS-SPSO),以解决收敛速度慢和易陷入局部最优解的问题.首先,将航迹规划问题转化为多约束目标优化问题,构造了基于航迹长度、障碍物威胁、平滑度和高度变化的适应度目标函数;其次,提出了学习因子动态调整策略,提升收敛速度;然后,当粒子陷入局部最优解时,引入Levy飞行扰动因子促使粒子迅速逃出局部最优解;最后,在三维环境下对提出的算法进行了仿真测试,在4个复杂度不同的数字高程三维场景下开展三维航迹规划仿真.仿真结果验证了改进算法的性能:该算法生成的航迹在保证避障安全的前提下,航迹代价更低、质量更高、路径更平滑,具有更优的寻优精度和更快的收敛速度.在障碍物密集的场景下,LDS-SPSO算法相比传统的粒子群算法(Particle Swarm Optimization,PSO)、惯性权重线性递减基于球面矢量的改进粒子群算法(Improved Particle Swarm Optimization algorithm,IPSO)和SPSO算法的最佳适应度值分别减少了22.92%、0.51%、0.34%,平均适应度值分别减少了31.18%、6.33%、4.54%,最差适应度值分别减少了36.45%、16.73%、14.77%.研究结果表明,LDS-SPSO算法在三维航迹规划中展现出更快的收敛性、更好的稳定性和可靠性. 展开更多
关键词 航迹规划 无人机 粒子群算法 适应度函数 莱维飞行
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基于激光测距的深松作业检测技术 认领 引用
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作者 侯云涛 吴泽全 +4 位作者 蔡晓华 东忠阁 程睿 李源源 祝天宇 《农机化研究》 北大核心 2026年第4期110-117,共8页
针对激光测距技术在深松作业检测中的应用进行深入研究,提出了一种自适应多门限值误差拟合方法。算法通过自适应调整多个门限值,动态寻找激光飞行时间误差最佳拟合校正方案,能够有效克服回波信号上升沿鉴别时刻因干扰脉冲产生的误差。... 针对激光测距技术在深松作业检测中的应用进行深入研究,提出了一种自适应多门限值误差拟合方法。算法通过自适应调整多个门限值,动态寻找激光飞行时间误差最佳拟合校正方案,能够有效克服回波信号上升沿鉴别时刻因干扰脉冲产生的误差。基于此方法,研发了一款智能化深松作业检测设备,其能够自主进行耕层断面数据的采集和保存,提高数据采集和处理的效率。同时,开展了测距试验,具体方法为:将SICK DL100-22AA2101激光测距仪的测距值作为标准距离,试验距离为1~4 m,取1 m作为步长,基于所研发设备,采用本文方法与双门限值时刻鉴别方法分别对同一距离进行5次测量作为实测距离,比较实测距离的标准差,以及实测距离均值与对应标准距离的误差。采用本文研发设备和人工方式分别对土壤膨松度和扰动系数进行检测,设备检测结果为土壤蓬松度27.0%、土壤扰动系数22.3%,人工方式检测结果为土壤蓬松度27.1%、土壤扰动系数22.7%。试验证明:研发设备在显著提高测量效率的前提下,得到的测量结果与传统人工测量方式几乎没有差异,具有较高的实用性和可靠性。 展开更多
关键词 深松作业检测 激光测距 自适应多门限值误差拟合算法
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激光雷达3维成像回波数据压缩与重建改进算法 认领 引用
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作者 袁鎏 孔繁林 +4 位作者 李潇 刘晓春 黄海华 路小龙 呙长冬 《激光技术》 CAS CSCD 北大核心 2026年第3期457-464,共8页
在激光雷达3维成像的过程中,为了节省大量飞行时间回波数据的存储空间,基于激光雷达3维成像回波数据的统计分布特征,采用一种激光雷达3维成像回波数据压缩与重建改进算法,在数据压缩过程中,根据用户提供的成像参数,对激光雷达3维成像回... 在激光雷达3维成像的过程中,为了节省大量飞行时间回波数据的存储空间,基于激光雷达3维成像回波数据的统计分布特征,采用一种激光雷达3维成像回波数据压缩与重建改进算法,在数据压缩过程中,根据用户提供的成像参数,对激光雷达3维成像回波数据统计分布进行多项式拟合,并根据用户提供的压缩判定阈值区分光计数和暗计数,生成精确记录光计数信息和记录统计分布多项式拟合系数的字节流,完成数据压缩;在数据重建过程中,对压缩文件进行解析,提取字节流之后,用多项式系数重建暗计数,并重建光计数信息。设计了小型化数据采集系统,取得了激光雷达3维成像回波数据,验证了算法的效果。结果表明,该算法实现了激光雷达3维成像回波数据的压缩和重建功能,在固定目标成像条件下实现了1.02%~38.86%的压缩率和0.1238~0.6326的均方误差,在室内目标成像条件下实现了0.93%~2.06%的压缩率和0.0000~0.4250的均方误差。该算法简化了激光雷达3维成像回波数据获取的过程,扩大了数据压缩算法的适用条件,实现了用户可控的数据压缩与重建。 展开更多
关键词 成像系统 激光雷达3维成像 压缩算法 统计分布 多项式拟合 小型化数据采集系统
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