ID 原文 译文
16355 因此，该文提出了一种基于随机抽样一致算法(Ransac)的捷变频联合正交频分复用(FA-OFDM)雷达高速多目标参数估计的方法。 Therefore, a high-speed multi-target parameter estimation method for Frequency Agile-OrthogonalFrequency Division Multiplexing (FA-OFDM) radar based on Random sampling consensus (Ransac) algorithmis proposed in this paper.
16356 首先，在传统捷变频雷达的每个脉冲内同时发射多个频率随机跳变的窄带OFDM子载波。 Firstly, multiple narrowband OFDM subcarriers with random frequency hopping aresimultaneously transmitted in each pulse of conventional frequency agile radar.
16357 将单个脉冲内所有子载波的回波信号进行脉冲压缩后，采用迭代自适应谱估计(IAA)算法合成目标的高分辨距离。 The echo signals of allsubcarriers in a single pulse are compressed, and then the high-resolution range of the target is synthesized byIterative Adaptive Approach (IAA) algorithm.
16358 然后，分别对各个脉冲的回波进行脉冲压缩和迭代自适应谱估计，得到不同脉冲时刻的高分辨距离，构成观测数据集。 Furthermore, the echoes of each pulse are compressed anditerative adaptive spectrum estimated, and the high-resolution distance of different pulse time is obtained toform the observation data set.
16359 再根据Ransac算法估计信号参数模型的步骤，拟合多条时间-距离直线，进而对高速运动的多个目标同时进行参数估计。 Then, according to the steps of the Ransac algorithm to estimate the signalparameter model, multiple time-distance lines are fitted, and then parameters of multiple high-speed movingtargets are estimated at the same time.
16360 最后，分别分析了信噪比(SNR)对检测概率以及目标自身速度对其相对估计误差的影响。 Finally, the influence of the Signal-to-Noise Ratio (SNR) on detectionprobability and the target velocity on relative error of estimation are analyzed, respectively.
16361 仿真实验验证了所提算法的有效性。 Simulations areprovided to verify the effectiveness of the proposal.
16362 在水下航行器等运动平台上，主动声呐的近距离滤波结果受混响干扰影响严重，大量的混响回波亮点会掩蔽目标回波的可见性，导致后续检测判决的虚警率增大。 For the underwater moving platforms, the near-range filtering of active sonar is seriously affected by reverberation disturbance. Usually, the real target echo will be masked by numerous reverberation highlights, which will greatly increase the false alarm rate of subsequent detection.
16363 以阵列处理的方位历程图作为基本输入，该文利用某些场景下混响干扰相邻周期间潜在的相干结构，假设混响满足低秩性； Among adjacent periods of the bearing-time-record from array processing in some scenarios, this paper utilizes the potential coherent structure ofreverberation, and then assumes that reverberation component satisfies the low-rank property.
16364 由于平台间的相对运动，假设感兴趣的目标回波在逐周期间是不相关且稀疏的。 In addition, the relative motion may assume that target echoes of interest are irrelevant and sparse.