在舰船通信信号传输质量检测中，由于信号分布的密集性与杂乱性，采集的信号质量较差，影响信号传输质量检测的准确性，因此设计一种基于物联网的舰船通信信号传输质量检测方法。基于物联网搭建舰船通信信号采集模型，模型由6部分构成，分别为物联网传感器模块、网络传输模块等，用于采集通信信号数据。通过信号脉压处理、AGC自动增益控制对采集的通信信号实施预处理。对卷积长短期多通道深度神经网络实施优化，利用优化后的网络实施通信信号的调制识别，提取信号特征，在Rfping链路中输入提取的信号特征数据，通过Rfping链路实施船舶通信信号传输质量检测。在某舰船上测试设计方法的性能，测试结果表明设计方法最高可以完成94次/s的信号采样，无论在长距离下还是短距离下采集的信号都比较稳定，信号传输质量检测误差低于1%，说明实现了设计目标。
in the detection of ship communication signal transmission quality, due to the dense and chaotic distribution of ship communication signals, the quality of the collected signals is poor, which affects the accuracy of signal transmission quality detection. An IoT-based ship communication signal transmission is designed. quality inspection method. Based on the Internet of Things, a ship communication signal acquisition model is built. The model consists of six parts, which are the Internet of Things sensor module and the network transmission module, which are used to collect communication signal data. The collected communication signals are preprocessed through two steps of signal pulse pressure processing and AGC automatic gain control. Optimize the convolutional long-term and short-term multi-channel deep neural network, use the optimized network to implement modulation and identification of communication signals, extract signal features, input the extracted signal feature data in the Rfping link, and implement ship communication signals through the Rfping link Transmission quality inspection. The performance of the design method is tested on a ship. The test results show that the design method can complete up to 94 times of signal sampling per second. The signals collected are relatively stabilize. in both long-distance and short-distance conditions, and the signal transmission quality detection error is lower than 1%, indicating that the design goal has been achieved.
2022,44(8): 149-152 收稿日期：2021-08-23
DOI：10.3404/j.issn.1672-7649.2022.08.031
分类号：TN432
基金项目：河南省重点研发与推广专项支持项目（202400410148）；河南省驻马店职业技术学院校级教改项目（2019YBJG01）
作者简介：杨青(1981-),女,讲师,主要从事物联网大数据技术研究
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