ID 原文 译文
21315 然后利用矩阵束方法准确估计强散射体的波达角； Then, the direction of arrival angle of the strong scatterer is estimated using thematrix pencil method.
21316 最后利用这些信息调整俯仰向DBF加权矢量，确保DBF接收波束指向正确，从而消除鬼影目标的干扰。 Finally, based on the imaging geometry model, the DBF weighting vector is adjusted to ensure the receiving beam to precisely point to the signal sources. Thereby, the interferences of ghost targets inSAR image can be eliminated effectively.
21317 仿真实验验证了该方法的有效性。 The theoretical analysis is derived in detail, then it is validated by simulation experiments.
21318 在回波数据稀疏、低信噪比等不利条件下，利用随机调频步进信号进行ISAR成像时，成像性能将会严重下降。 Under the condition of lack of echo data and low SNR, the ISAR imaging performance is greatly reduced by using Random Chirp Frequency-Stepped (RCFS) signal.
21319 针对上述问题，该文在充分分析随机调频步进信号回波特性的基础上，提出利用目标距离向具有的联合块稀疏特征来获得高质量ISAR图像的新方法。 To solve the above problems, based onfully analyzing the echo characteristics of the random chirp frequency-stepped signal, a new method ofobtaining high quality ISAR images is proposed using the joint sparse feature of the target range dimension.
21320 首先，推导了在随机调频步进信号发射波形条件下目标回波信号的联合块稀疏成像模型并分析了该模型特征； First, a joint block sparse imaging model of the target echo signal under the condition of random chirpfrequency-stepped signal is derived and the characteristics of the model are analyzed.
21321 其次，提出了联合块稀疏正交匹配追踪稀疏重构算法(JBOMP)实现对模型的求解。 Secondly, a Joint Blocksparse Orthogonal Matching Pursuit (JBOMP) algorithm is proposed for solving the model.
21322 该算法利用ISAR回波信号具有的块稀疏以及联合稀疏等先验信息，因此在低量测值、低信噪比条件下的ISAR成像性能得到了增强。 The algorithmutilizes the sparse information and the joint sparse information of the ISAR echo. Therefore, the ISAR imagingperformance is enhanced under the condition of low measurement and low SNR.
21323 所提算法还可以实现对多维信号的联合处理，且具有较快的运算速度。 The proposed algorithm alsocan achieve joint processing of multidimensional signals and has a faster operation speed.
21324 理论分析与仿真实验均验证了所提方法的有效性。 Both theoretical analysis and simulation experiments verify the effectiveness of the proposed method.