ID	原文	译文
54447	首先，通过分析海杂波幅度分布特性，建立样本数据库;	Firstly, the sample datasets are established by analyzing the amplitude characteristics of sea clutter.
54448	然后，通过迁移AlexNet在ImageNet数据集上的分类模型，并使用杂波数据集微调网络参数，	Secondly, by transferring the AlexNet classification model on the ImageNet dataset, and then using the clutter datasets to fine-tune the network parameters.
54449	实现对海杂波数据的准确分类，从而获取服从独立同分布的杂波样本数据，提高自适应杂波抑制方法性能。	In doing so, sufficient clutter sample data with the independent identical distribution are obtained based on the accurate classification, which improves the performance of the adaptive clutter suppression method.
54450	相比现有杂波抑制方法，所提方法具有人工参与度低、杂波分类准确率高、以及杂波抑制效果更好等优点;	Compared with the existing clutter suppression methods, the proposed method has the advantages in artificial participation, clutter classification, and clutter suppression performances.
54451	最后，通过CSIR实测数据验证了本文所提方法的有效性。	Finally, the effectiveness of the proposed method is verified by the measured data of CSIR datasets.
54452	针对传统海上目标探测效费比低且受恶劣海况影响严重的问题，亟需构建安全有效、多维立体的海上目标探测体系。	Aiming at the problem of target detection for traditional means with low-effectiveness ratios and severely affected by harsh sea conditions. It urgent need to build a safe and effective, multi-dimensional sea target detection system.
54453	水下声学滑翔机凭借其隐蔽性能好、环境适应强、成本低等优点，可广泛应用于海上目标探测。	Underwater acoustic gliders can be widely used in sea target detection due to their advantages of good concealment performance, strong environment adaptability and low cost.
54454	海上目标探测受海洋环境影响很大，需要进行系统、长期、深入研究。	Sea target detection is greatly affected by the complex marine environment, and it is necessary to carry out systematic, long-term, and in-depth research.
54455	开展水下声学滑翔机海上目标探测试验并获取对不同海上目标的探测能力，是有效推进该研究的重要手段。	Carrying out underwater acoustic glider sea target detection experiments and acquiring detection capabilities for different maritime targets is an important means to effectively advance the research.
54456	该文重点围绕水下声学滑翔机对不同水面航船目标探测试验情况，从目标探测距离、目标估计方位精度和-3 dB波束宽度三个方面进行了性能评估和总结。	This paper focuses on the performance of underwater acoustic glider on different surface ship target detection experiments, and evaluates and summarizes performance from three aspects: target detection distance, target azimuth estimation accuracy, and-3 dB beam width.