ID 原文 译文
6764 引入最小外接矩形的长宽比Fj3、占空比Fj2和像素值Fj1等3个参量,运用图像标记技术提取目标回波上述参量,利用Fj1去除大片连通目标回波对慢速小目标的干扰,通过Fj2和Fj3得到的信息值H(Aj)对目标回波进行分类处理。 The introduction of the aspect ratio of the minimum circumscribed rectangle Fj3, duty ratio Fj2 and pixel values Fj1 three parameters, such as using the image tag technology to extract the target echo the above parameters, using Fj1 remove large connected target echo to slow the interference of small targets, information value is obtained by Fj2 and Fj3 H (Aj) classification processing of target echo.
6765 在每个分类域中,首先去除目标回波中间隔距离大于多帧积累时间内慢速小目标运动距离的目标回波,然后通过"慢速小目标的确定"实现对慢速小目标的有效探测,最后把每个分类域中慢速小目标探测结果进行合成得到最终的慢速小目标探测效果。 In each category domain, first remove the target echo in the distance is greater than the frame accumulation time more slowly, small target movement distance of target echo and then by "slow small targets determined" to slow the small target detection effectively, and finally to classify each domain slow small target detection result to obtain the final effect of small target detection in a slow speed.
6766 仿真实验结果验证了该算法的有效性。 The simulation results verify the effectiveness of the proposed algorithm.
6767 为了降低正交频分复用系统的峰均功率比(peak-to-average power ratio,PAPR),提出了一种基于分块思想的低复杂度PAPR抑制方案。 In order to reduce the peak of orthogonal frequency division multiplexing system power ratio (peak - to - business power thewire, PAPR), this paper proposes a low complexity PAPR suppression scheme based on partitioned thoughts.
6768 该方案首先将原始信号等分为两个子块,然后将每个子块数据通过快速傅里叶逆变换处理后,与转换向量进行循环卷积生成备选子块序列,同时引入随机相位序列生成更多的备选子块序列。 The plan will first original signal is divided into two blocks, then each piece of data through fast Fourier inverse transformation after processing, the cycle and transformation vector convolution to generate alternative sub-block sequence, at the same time the introduction of random phase sequence generated more alternative sub-block sequence.
6769 最后,从两个备选子块序列中分别挑选出PAPR最小的子块序列,合并成最优信号进行传输。 In the end, respectively from two alternative sub-block sequence selected minimum PAPR sub-block sequence, merged into the optimal signal transmission.
6770 性能分析表明,当每个转换向量模块生成的备选子块数量大于等于5时,提出的方案可以在保持较低计算复杂度的同时,实现PAPR性能的大幅度改善。 Performance analysis shows that, when each transformation vector module to generate greater than or equal to the number of optional sub-block 5, proposals can while maintaining the low computational complexity, greatly improve the performance of PAPR.
6771 针对无人机编队飞行过程中领航无人机在三维空间机动飞行时的编队队形保持问题,构建了无人机三维编队保持控制系统。 For uav formation flight piloting drones in three-dimensional space in the process of formation of maneuvering flight formation remain problems, build the uav three-dimensional formation keeping control system.
6772 根据无人机编队飞行三维空间几何学关系,利用无人机自动驾驶仪模型和编队运动学模型建立了旋转坐标系下三维编队飞行的数学模型。 According to the three-dimensional space geometry relation of unmanned aerial vehicle (uav) formation flight, using unmanned aircraft autopilot model and three-dimensional formation kinematics model is established in the rotating coordinate system, the mathematical model of formation flight.
6773 在考虑闭环系统存在时变外界干扰的情况下,设计了无人机编队保持的自适应控制器,并基于李亚普诺夫理论,对设计的自适应控制律的稳定性进行了证明。 Considering the closed-loop system is the presence of time-varying interference, the uav formation keeping adaptive controller is designed, and based on the lyapunov theory, the design of the stability of the adaptive control law for the proof.