ID 原文 译文
55607 这给估计目标微多普勒带宽和提取目标微多普勒参数造成了困难。 To estimate target and extract micro-doppler bandwidth micro-doppler parameter caused difficulties.
55608 在充分考虑目标运动特征的条件下,首先研究和建立了目标的宽带雷达回波数学模型。 Under the condition of fully considering the characteristics of target motion, the first research and target wideband radar echo mathematical model is established.
55609 然后提出了基于简化分数阶傅里叶变换(simplified fractional Fourier transform,SFRFT)的速度补偿方法。 Then based on the simplified fractional Fourier transform (simplified fractional Fourier transform, SFRFT) speed compensation method.
55610 推导了方位向信号起始频率和调频斜率的估计误差方差,证明了算法的有效性。 Bearing was deduced to the slope of the initial frequency signal and the frequency modulation estimation error variance, prove the effectiveness of the algorithm.
55611 仿真结果表明,该方法能够给出精确的参数估计结果,并能对平动多普勒频率进行准确补偿。 The simulation results show that the method can give accurate parameter estimation results, and accurate in compensating for translational doppler frequency.
55612 即使在信噪比较低的情况下,该方法仍表现出较好性能。 Even in the case of low signal noise ratio (SNR), the method still showed a good performance.
55613 该方法为目标微多普勒参数的提取提供了前提条件。 The method for target to provide the premise for the extraction of doppler parameters.
55614 论述了利用新近研制的二维阵列开展基于数字电视信号的三坐标外辐射源探测实验的研究结果。 Discusses the using two-dimensional array of newly developed, the three coordinates external radiation source based on digital TV signal detection experiment results of the study.
55615 结合数字电视信号的电波覆盖特征,首先论证了低空目标三坐标定位情况下仰角测量的必要性,接着阐述了接收阵列设计的原理和方案,并讨论了相应的仰角和方位角的估计策略及转换方法,最后重点介绍了实验开展的情况,包括系统配置、空中目标探测典型结果及分析,从实验角度验证了该三坐标数字电视外辐射源雷达方案的性能。 Combined with the feature of digital television signal waves cover, firstly demonstrates the low altitude target three coordinates cases, the necessity of elevation measurement, then expounds the design principle and scheme of receiving array, and discusses the corresponding elevation and azimuth estimation strategy and transform method, finally introduced the experiment carried out, including the system configuration, typical air target detection results and analysis, from the perspective of experiment verified the three-dimensional digital TV outside source performance of radar.
55616 针对当前车底阴影分割算法在复杂环境下鲁棒性较差以及最大类间方差(maximum between-class variance,MBCV)多阈值分割算法不能自动确定阈值个数的问题,提出利用峰值自适应方法自动确定MBCV多阈值分割算法中阈值个数;然后,以阈值的个数为粒子群优化算法(particle swarm optimization,PSO)中粒子的维数,提出了一种改进的PSO-MBCV算法的车底阴影分割。 In view of the current car shadow segmentation algorithm robustness in complex environment is poor and the between-cluster variance (maximum between - class variance, MBCV) multiple threshold segmentation algorithm can automatically determine the threshold number of problem, put forward by using adaptive method to automatically determine the peak MBCV number threshold value of threshold segmentation algorithm;Then, with the number of threshold for particle swarm optimization algorithm, particle swarm optimization, PSO) in the dimension of particles and proposed an improved PSO - MBCV car shadow segmentation algorithm.