ID 原文 译文
22915 AAJD 算法角度估计时重复利用上一时刻的角度信息，导致跟踪性能的下降。 The reason for the low tracking performance of AAJD algorithm is that the estimated angle of the previous time is reused for angle estimation.
22916 通过证明 AAJD 算法求出的特征矢量每一列都对应着一个目标，改进 AAJD 算法直接求解目标的收发角度，提高了跟踪性能，更加适用于大机动目标跟踪，并对 ESPRIT 算法进行改进，实现了目标角度的自动配对与关联。 It is proved that each eigenvectors of the AAJD algorithm corresponds to a target. Improved AAJD algorithm can estimate the DOD and DOA directly, which improves tracking performance and can solve high maneuvering target tracking problems. And the  ESPRIT algorithm is improved to realize the automatic matching and association of DOD and DOA.
22917 仿真结果表明改进 AAJD 算法跟踪性能高于 AAJD 算法，特别是跟踪大机动目标时改进 AAJD 算法性能更优，验证了理论分析的有效性。 The simulation results show that the improved AAJD algorithm has higher tracking performance than AAJD algorithm, especially when the large maneuvering target is tracking. The efficiency of the proposed method is verified.
22918 斜视合成孔径雷达(Synthetic Aperture Radar, SAR)能够对雷达平台的侧前或侧后方区域进行观测，极大地增加了雷达的探测范围和灵活性。 Squint Synthetic Aperture Radar (SAR) can observe the side-front or side-rear scene of the platform. The squint mode improves the observation area and flexibility of SAR greatly.
22919 针对斜视 SAR 子孔径成像，该文提出一种基于局部最优匹配准则的成像算法。 For subaperture imaging of squint SAR, a Local Optimal Matching Algorithm (LOMA) is proposed in this paper.
22920 该算法在针对某方位频率构造对应的距离徙动校正、2 次距离压缩以及方位补偿函数时，以“位于该方位频率处的点目标得到最佳匹配”为准则，不同于传统方法的以“方位中心点获得最佳匹配”为准则，从而能够避免距离方位中心较远的目标的失配，有效地改善了方位边缘区域的聚焦效果。 In the algorithm, a new criterion is used in the presentation of the functions for range cell migration correction, secondary range compression and compensation in azimuth frequency domain. The criterion is that the target located at the azimuth frequency is matched optimally. It is different from the traditional algorithm, whose criterion is that the target at the azimuth center is matched optimally. Based on the new criterion, the proposed algorithm is able to avoid the mismatching and improve the focusing of the targets far from the azimuth center.
22921 文中通过点目标仿真验证了该算法的有效性。 The validity of the proposed algorithm is illustrated by the simulation results.
22922 高频雷达由于工作在拥挤的高频频段(3~30 MHz)，连续频带资源十分有限，有限的带宽限制了对目标的分辨能力。 High Frequency Radar (HFR) works in the crowded high-frequency band (3~30 MHz) with limited continuous bandwidth. It affects the ability to distinguish the near targets.
22923 该文引入一种合成宽带的发射信号，同时针对该信号，提出一种基于矩阵填充(Matrix Completion, MC)的 1 维和 2 维目标参数估计方法，分别称之为矩阵填充 1 维估计(MCE-1D)和矩阵填充 2 维估计(MCE-2D)方法，该方法将不完备采样集合变换成低秩矩阵，通过构造双重汉克尔(two-fold Hankel)矩阵将其转化为半定规划(Semi- Definite Programming, SDP)问题求解。 Therefore, this paper introduces a kind of synthesis bandwidth signal with a proposed method for estimating the target parameters in 1-D and 2-D based on Matrix Completion (MC). They are respectively named Matrix Completion Estimation for One Dimension (MCE-1D) and Matrix Completion Estimation for Two Dimensions (MCE-2D). The incomplete sampling set can be considered as low rank matrix, by constructing the two-fold Hankel matrix, this problem is transformed into a Semi-Definite Programming (SDP) problem.
22924 新方法应用于高频雷达中，可以在非连续谱的背景下获得场景中目标位置的准确估计，很好地解决了非网格目标在传统网格类方法中的基失配问题，新方法对于非网格目标具有更高的分辨能力及抗噪性能。 Using this new method to the high frequency radar, then the accurate estimation of the target position in the scene can be obtained in the background of the discontinuous spectrum, which solves the problem of base mismatch for off-the-grid targets in the traditional grid estimate method. It also has higher resolution and anti-noise performance.