| ID | 原文 | 译文 |
| 9324 | 针对现有避障算法忽略"潜在危险"障碍的影响和对多障碍避碰复杂的问题,建立障碍物威胁分级模型,提出一种速度障碍圆弧法,该方法通过速度障碍圆弧参数量化了威胁障碍的影响。 | In view of the existing algorithm of obstacle avoidance, ignore the influence of the "potential danger" barrier and to the many obstacles avoiding complex problems, obstacles threat classification model, put forward a kind of velocity arc method, the method through obstacles velocity arc parameters to quantify the threat. |
| 9325 | 同时,给出了速度障碍圆弧参数的系统计算方法,考虑了复杂环境下UAV与威胁障碍之间不同相对位置和相对速度情况。 | At the same time, gives the speed barrier arc parameters calculation method of the system, considering the UAV under complex environment and threat obstacles between different relative position and relative velocity. |
| 9326 | 基于速度障碍圆弧法给出相应的避碰算法。 | Based on velocity obstacle arc method corresponding collision avoidance algorithm is given. |
| 9327 | 以路径规划为实例对避碰算法进行了仿真验证,仿真结果验证了算法的有效性和实用性。 | Collision avoidance algorithm in path planning for example simulation, the simulation results verify the validity and practicability of the algorithm. |
| 9328 | 对非平稳阵列信号处理来说,通过时频分析预处理可以提高对不同信源到达角(direction of arrival,DOA)的分辨能力和估计精度。 | For non-stationary array signal processing, preprocessing by time-frequency analysis can improve the different source doas (DOA) direction of concatenated, resolution and estimation precision. |
| 9329 | 本文以提高在多信号分量环境下时频表示的能量聚集性为目标,提出一种自适应的局部多项式傅里叶变换(local polynomial Fourier transform,LPFT)方法,通过对信号瞬时频率曲线进行多项式拟合,确定LPFT的窗函数长度及各阶系数,以较小的计算量实现自适应时频分析。 | This article in order to improve the signal component of the environment more time-frequency representation of energy clustering as the goal, proposed an adaptive local polynomial Fourier transform (local polynomial Fourier transform, LPFT) method, through to the signal instantaneous frequency polynomial curve fitting, determine LPFT window function length and coefficient of each order, with small amount of calculation to realize the adaptive time-frequency analysis. |
| 9330 | 在此基础上,提出一种基于自适应LPFT的多信号分类(multiple signal classification,MUSIC)算法。 | On this basis, put forward a kind of multiple signal classification based on adaptive LPFT (multiple signal classification, MUSIC) algorithm. |
| 9331 | 仿真结果表明,与其他时频MUSIC算法相比,该方法对信号形式的适应能力强,在DOA估计精度、多信源角度分辨能力方面具有一定优势。 | The simulation results show that compared with other MUSIC algorithm in time-frequency domain, the method of signal in the form of adaptability is strong, the DOA estimation precision, multiple source Angle resolution has certain advantage. |
| 9332 | 为了抑制辨识模型阶数的不断增长,适应系统的时变动态特征,以滑动时间窗为基本建模策略,提出了一种具有自适应正则化因子的核超限学习机(kernel extreme learning machine,KELM)在线辨识方法。 | Order number increasing, in order to prevent the identification model to adapt to the time-varying dynamic characteristics of the system, with sliding time window as the basic modeling strategy, puts forward a kind of adaptive regularization factor of nuclear transfinite machine learning (kernel extreme learning machine, KELM) online identification method. |
| 9333 | 通过构建新的目标函数,使得正则化因子可以随着系统动态而改变,保证了模型在不同的非线性区域拥有不同的结构风险; | By building a new objective function, making the regularization factor can be changed by system dynamics, guarantees the model in the structure of different nonlinear area have different risk; |