ID 原文 译文
21915 脉冲雷达信号广泛用于逆合成孔径雷达(ISAR)成像。在辐射式仿真中采用脉冲雷达信号进行 ISAR 成像时，由于脉宽对应的传播距离远大于微波暗室的空间长度，脉冲回波会在发射信号未被完全辐射之前返回接收机，使得收发信号相互耦合，难以得到 ISAR 图像。 Pulse radar signal is widely used in Inverse Synthetic Aperture Radar (ISAR) imaging. However, because the propagation distance obtained by the pulse width is larger than the size of anechoic chamber, target echo returns before the pulse signal is fully transmitted. As a result, the transmitted and reflected signals are coupled and difficult to be separated for ISAR imaging in Radio Frequency Simulation (RFS).
21916 该文提出基于间歇收发的脉冲雷达 ISAR 成像等效模拟方法，通过将脉冲信号分段发射、分段接收，得到分段稀疏的目标回波。然后，结合压缩感知与间歇收发回波，重构得到 ISAR图像。 To solve this problem, the equivalent simulation method is proposed for pulse radar ISAR imaging based on Interrupted Transmitting and Receiving (ITR). As the ITR echo is piecewise sparse in time domain, the ISAR image can be reconstructed based on Compressive Sensing (CS).
21917 根据等效模拟的实现流程，对仿真与实测数据进行分析，结果表明，该等效模拟方法所得 ISAR 图像与完整脉冲回波所得图像基本一致，从而验证了等效模拟方法的有效性。 Simulation and real data demonstrate that the ISAR image obtained by the proposed method is consistent with that obtained by the complete pulse radar signal. Therefore, the proposed method is effective for ISAR imaging in RFS.
21918 为提高低采样点条件下互质阵列 DOA 估计精度，该文提出基于 Bessel 先验快速稀疏贝叶斯学习算法。 In order to improve DOA estimation accuracy of co-prime array while the number of snapshots is small, a novel fast Sparse Bayesian Learning (SBL) algorithm using Bessel priors is proposed.
21919 该方法针对互质阵列输出的多采样点复数数据，首先构建了基于 Bessel 先验的多量测分层模型； Focusing on the multi-snapshots complex output data of coprime array, a multiple measurement vectors hierarchical model based on Bessel priors is firstly built.
21920 其次推导了模型所涉超参数的对数似然函数，根据最大似然估计准则得到了超参数的迭代公式； Then the log-likelihood function of model hyperparameters is derived, and the iterative formulas of hyperparameters are derived based on the criterion of maximum likelihood estimation.
21921 最后提出了快速实现方案，提高了运算效率。 Finally, a fast implementation scheme is developed in order to improve the computation efficiency.
21922 仿真结果表明，该方法不依赖先验信息，在低采样点条件下具有更高的 DOA 估计精度和分辨率，能够对相干信号进行高精度 DOA 估计，并具有较高的运算效率。 Simulation experiments show that the proposed algorithm is independent on prior information. Under the condition of small number of snapshots, higher DOA estimation accuracy and resolution of uncorrelated and correlated signals can be achieved with proper computational efficiency.
21923 此外，该文探究了虚拟阵列扩展与互质阵列测向自由度扩展间的关联，为后续阵列误差条件下互质阵列 DOA 研究估计提供参考。 Further more, the necessity between virtual array extension and DOA estimation freedom of co-prime array is explored, which provides reference to DOA estimation for co-prime array under array perturbation conditions.
21924 Teager 能量算子是近年来提出的非线性方法，具有跟踪时变信号的特点，该文结合该算子和经验模态分解方法，提出一种新的语音端点检测算法，用于寻找合理的语音起始和终止端点。 In recent years, Teager energy operator is proposed as a kind of nonlinear method characterized with tracking a time-varying signal. The operator is combined with empirical mode decomposition, and a new method of voice activity detection is proposed to find the best voice start point and end point.