ID 原文 译文
9534 首先,根据角反射体的分布态势,利用改进GO/AP算法实时计算各角反射体的RCS; ‭First of all, according to the distribution of corner reflector, the improved algorithm GO/AP real-time computing the RCS of each corner reflector.
9535 然后,利用散射中心合成法将各角反射体的RCS贡献量相干叠加,快速预估角反射体群在特定分布态势下的RCS; ‭Then, using the method of synthesis of scattering center RCS contributions from each Angle reflector coherent superposition, a quick estimate angular reflector RCS group under the specific distribution situation;
9536 最后,通过多次计算不同分布态势下的RCS,取平均值表征角反射体群在特定雷达照射方向下的RCS水平。 Finally, through times of calculation under different distribution trend of RCS, average characterization of corner reflector group in particular under the direction of the RCS radar radiation levels.
9537 利用FEKO软件对算法进行仿真验证,结果表明:所提算法在保证计算精度的前提下,能够显著提高海上角反射体群RCS的预估效率。 ‭The algorithm using FEKO software simulation, the results show that the proposed algorithm in the premise of guarantee calculation precision, can significantly improve the sea Angle reflector group of RCS prediction efficiency.
9538 在分析外辐射源雷达中参考通道与目标回波通道信号特点的基础上,提出了在外辐射源雷达分析模型中,不使用参考通道,仅仅利用目标回波通道的数据信息,完成对目标的检测,进行时延和多普勒频率参数的提取。 Outside sources on the analysis of the radar in the reference channel and target echo signal characteristics on the basis of the outside source radar analysis model is put forward, do not use the reference channel, only use of data information of target echo channel, to complete the target detection and time delay and doppler frequency parameters of extraction.
9539 在对目标进行角度估计时,为了实现多目标的参数匹配,给出了已知波形匹配算法和比幅测向的角度参数估计算法,通过仿真实验说明了所提方法的有效性。 Angle estimation on the target, in order to realize the multi-objective parameter matching, known waveform matching algorithm is given and than Angle parameter estimation of direction finding algorithm, through the simulation experiments show the effectiveness of the proposed method.
9540 论述了利用武汉大学新近研制的多通道外辐射源雷达系统开展基于地面数字多媒体广播(digital terrestrial multimedia broadcasting,DTMB)外辐射源雷达微多普勒效应实验的研究结果。 This paper discusses the use of newly developed by wuhan university multi-channel radiation sources outside the radar system to carry out based on the terrestrial digital multimedia broadcasting (digital terrestrial multimedia broadcasting had, DTMB) outside sources LeiDaWei doppler effect experiment results of the study.
9541 首先建立了外辐射源雷达目标微动信号模型,接着简要阐述了信号处理的主要关键技术,最后重点介绍了实验开展的情况,包括系统配置、目标微多普勒效应实验典型结果及分析,从实验上证实了利用DTMB信号实现目标微多普勒效应探测的技术可行性。 ‭Outside of radar target was established by the micro signal model, and then briefly expounds the main key of signal processing technology, finally introduced the experiment carried out, including system configuration, the target doppler effect experiment results and analysis of typical confirmed experimentally using DTMB signal realize the target of micro-doppler effect for technical feasibility. ‭
9542 提出了一种快速稳健的自适应非线性尺度特征检测子(fast robust adaptive nonlinear scale feature detector,FRANSFD),通过非线性尺度空间快速求解去除了噪声同时保证了边缘细节,并将自适应选取尺度空间组数、基于加速段检验的自适应通用角点检测子(adaptive and generic corner detection based on the accelerated segment test,AGAST)与框状拉普拉斯滤波器去除边缘响应相结合,兼顾了检测的准确性与实时性。 This paper proposes a robust adaptive nonlinear scale characteristics of fast detection sub (fast robust adaptive nonlinear scale feature detector, FRANSFD), by solving nonlinear scale space quickly removed noise at the same time guarantee the edge details, and the adaptive selection scale space group number, based on the accelerating period of inspection of adaptive gm corner detection sub (the adaptive and generic corner detection -based on the accelerated the segment test, AGAST) combined with a box shape Laplace filter to remove edge response, both the accuracy and real-time detection.
9543 通过与尺度不变特征转换(scale invariant feature transform,SIFT)检测子、快速鲁棒性特征(speeded up robust features,SURF)检测子、风式特征(KAZE)检测子以及二进制鲁棒性尺度不变的特征(binary robust invariant scalable keypoints,BRISK)检测子的实验对比可知,FRANSFD的5种变换鲁棒性均较强,同时速度也更快。 Through and scale invariant features transform (scale invariant feature transform, SIFT) detection, robustness, fast characters (speeded up robust features, SURF) detection, and wind characteristics (KAZE) child and binary robustness scale-invariant features (binary robust invariant scalable keypoints, your BRISK) detection of experimental comparison, the FRANSFD of 5 kinds of transformation have stronger robustness, faster at the same time.