ID	原文	译文
17145	通过在两个公开数据集AID和NWPU45上进行大量的对比实验，验证了所提方法的有效性，与现有方法对比，分类准确率取得了明显的提升。	Comparative experiments are conducted on the two public data sets AID and NWPU45. Compared with theexisting methods, the classification accuracy has been significantly improved, and the effectiveness of theproposed method can be verified.
17146	针对低信噪比下，自适应线谱增强(ALE)算法在低信噪比时性能急剧下降的问题，该文提出2级ALE算法，	In view of the problem that the performance of the Adaptive Line-spectrum Enhancement (ALE)algorithm drops sharply under low signal-to-noise ratio, a two-level ALE algorithm is proposed.
17147	该算法在普通的ALE算法的基础上，将输出信号和误差信号的傅里叶变换作为第2级ALE的输入，对线谱作进一步增强。	Based on theordinary ALE algorithm, the Fourier transform of the output signal and the error signal is used as the input ofthe second-level ALE to enhance further the line-spectrum.
17148	并利用噪声抑制门对信号进行降噪预处理，然后结合提出的2级ALE算法，提出一种基于噪声抑制门的2级ALE算法，进一步提高信噪比，增强线谱。	The noise suppression gate is used to perform noisesuppression preprocessing on the signal, and then combining with the proposed two-level ALE algorithm, analgorithm of two-level ALE based on noise suppression gate is proposed to improve further the signal-to-noiseratio and enhance the line-spectrum.
17149	仿真和海试数据表明，算法性能较普通ALE算法有较大提升。	Simulation and sea trial data show that the performance of the algorithmis greatly improved compared with the ordinary ALE algorithm.
17150	利用水下自主潜航器(AUV)定位是水下大区域静止目标定位主要方法之一。	Autonomous Underwater Vehicle (AUV) localization is one of the main methods to locate underwater targets in large areas.
17151	针对单AUV定位存在的定位周期长，定位覆盖区域低，长时间定位误差累积大的缺陷，该文提出一种基于正交运动的双AUV的静止目标定位方法。	Considering the defects of single AUV positioning, such as long positioning period, lowpositioning coverage area and large accumulation of positioning errors for a long time, a cooperative targetlocalization method based on double orthogonal moving AUVs is proposed.
17152	每个AUV通过自身携带的惯性导航系统(INS)和多普勒计程仪进行自身定位，并在多次运动过程中通过与静止目标间的通信时延差测量进行定位。	Each AUV locates itself through its own Inertial Navigation System (INS) and Doppler log. Localization process is achieved through themeasurement of time difference of arrive between the target and AUV in the course of multiple movements.
17153	该方法需要2个相对航向角呈90°的正交移动AUV通过最少2次与静止目标间通信完成次定位。	This method requires two orthogonal moving AUVs with a relative heading angle of 90°to achieve one positioning process by communicating at least two times.
17154	相比于传统的单移动传感器定位方法，该算法需要的定位周期更短，对同步要求更低。	Compared with the traditional single mobile sensor positioning method, the proposed method requires shorter positioning period and lower synchronization requirements.