ID 原文 译文
17155 实验结果表明，该方法定位精度有显著提高，同时有效定位区域增大，在长时间定位过程中对AUV位置误差影响更低。 Experimental results show that the positioning accuracy of this method is significantly improved,while the effective positioning area is enlarged, and the influence on AUV position error is lower in the longtime positioning process.
17156 针对复杂水下环境运动小目标检测中存在的目标信号强度弱、信杂比低等问题，该文提出基于子空间投影的检测前跟踪(TBD)算法： The small moving target detection in complex underwater environment is complicated due to the weak target signal strength and low signal-to-clutter ratio. A Track-Before-Detect (TBD) algorithm based on subspace projection is proposed to solve these problems.
17157 对原始图像数据截取序列片段，将3维时空片段中的短时运动航迹投影到2维子空间平面； A sequence motion track fragment is extracted fromthe original data, and then projected from the 3D space-time onto the 2D subspace.
17158 利用2维投影图中平面航迹的形态特征进行初步筛选，提取目标的有效运动区域； The morphological featuresin 2D subspace are applied to preliminary screening to remove most of the clutters and locate the local motionareas of the target.
17159 将2维平面中的目标短时航迹在局部区域重建3维时序，在3维航迹回溯过程中利用目标运动特征再次筛选目标短时航迹。 The 3D space-time track is reconstructed from 2D subspace in these local motion areas. During the above 3D track backtracking process, the motion continuity characteristics are also extracted tofurther remove the clutters and select the effective target track fragments.
17160 通过上述分级检测机制，可实现快速高精度的目标短时航迹检测。 Through the above-mentionedhierarchical processing, a fast and high-precision target track fragment detection algorithm is achieved.
17161 结合前景检测以及基于层次凝聚聚类(HAC)的长时航迹检测算法，构建了针对运动小目标的完整检测前跟踪方法。 By combing this track fragment detection algorithm with the foreground detection and Hierarchical AgglomerativeClustering (HAC) based long-time track detection algorithms, a complete TBD scheme for small moving targets detection is constructed.
17162 最后使用实测声呐图像数据验证了算法的检测精度和检测速度。 The accuracy and speed of this detection scheme are verified on the real sonar imagedata.
17163 针对海底长线阵在近场辐射声干扰及空间水平非均匀噪声下的远距离估计目标波达方向 (DoA)问题，该文提出一种基于长线阵分子阵近场零陷权的联合目标方位估计方法。 As for long-range target Direction of Arrival (DoA) estimation with benthonic long linear arraysunder near-field acoustic interference and space non-stationary noise, a novel joint DoA estimation of subarraysalgorithm is proposed, which is based on near-field nulling weight.
17164 该方法将长线阵分解为多个高重叠子阵，对各个子阵利用零陷抑制技术去除近场强干扰对目标探测的影响， The long linear array is divided into severalhigh overlap subarrays. The near-field nulling weight is calculated for subarrays to eliminate the effect of thenear-field interference on target detection.