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作 者:王志欣 张博轩 WANG Zhixin;ZHANG Boxuan(No.54 Institute of CETC,Shijiazhuang Hebei 050081,China)
机构地区:[1]中国电子科技集团公司第五十四研究所,河北石家庄050081
出 处:《通信技术》2023年第5期544-551,共8页Communications Technology
基 金:国家自然科学基金项目(U20B2071)。
摘 要:针对水声信道环境噪声干扰严重和第三方侦察的水声通信信号信噪比低导致的水声通信信号调制识别过程中提取的信号特征不明显,以及不同水声信道条件下信号特征差异较大导致的调制识别性能不稳定等问题,将VMD-Hilbert与ResNet网络模型相结合,提出了一种涵盖BPSK、QPSK、8PSK、2FSK、4FSK、8FSK、OFDM、DSSS等常规水声通信信号调制样式的识别方法。该方法无需任何先验信息,可有效解决水声信道强背景噪声干扰导致的信号特征失真和不同海况干扰造成的样本特征失配问题,提高了信号识别准确率。仿真结果表明,在接收信噪比为6 dB的条件下,信号调制识别准确率≥95%,且在不同信道环境条件下,该方法仍具有较高的准确识别能力。To address these problems such as severe interference from underwater acoustic channel ambient noise,low signal-to-noise ratio of underwater acoustic communication signals detected by third-party resulting in unclear signal characteristics extracted during modulation and recognition of underwater acoustic communication signals,and unstable modulation and recognition performance caused by large differences in signal characteristics under different underwater acoustic channel conditions,this paper combines VMD-Hilbert with ResNet network model and proposes a method for recognizing modulation patterns of conventional underwater acoustic communication signals,including BPSK,QPSK,8PSK,2FSK,4FSK,8FSK,OFDM,DSSS,etc.The method does not require any priori information and can effectively solve the problem of signal characteristics distortion caused by strong background noise interference in underwater acoustic channels and sample characteristic mismatch caused by interference from different sea states,and improve the accuracy of signal recognition.Simulation results indicate that under the condition of receiving a signal to noise ratio of 6 dB,the signal modulation recognition accuracy rate is greater than 95%,and under different channel environment conditions,the method still has high accurate recognition ability.
关 键 词:变分模态分解 水声通信 调制识别 残差网络 水声信道 降噪
分 类 号:TN929.3[电子电信—通信与信息系统]
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