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基于深度可分离卷积的自动调制识别
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作者 张丹华 冯冀宁 +1 位作者 郑荐文 牛江玉 《软件导刊》 2026年第3期86-93,共8页
自动调制识别是通信模式识别、电子侦察、干扰检测等领域的重要环节。针对低信噪比条件下自动调制识别准确率不高和网络模型参数量大的问题,提出一种基于深度可分离卷积的轻量级网络模型。该模型主要由深度可分离卷积、RES-SCConv以及... 自动调制识别是通信模式识别、电子侦察、干扰检测等领域的重要环节。针对低信噪比条件下自动调制识别准确率不高和网络模型参数量大的问题,提出一种基于深度可分离卷积的轻量级网络模型。该模型主要由深度可分离卷积、RES-SCConv以及注意力机制组成。首先,利用深度可分离卷积搭建基础特征提取单元,有效提取时频图数据中的多尺度特征;其次,添加轻量级注意力机制,从空间和通道两个维度进行特征提取,突出重要特征信息;最后,在网络中添加RES-SCConv模块,进一步减少空间维度和通道维度上的特征冗余,抑制噪声信息干扰。实验结果表明,所提模型在信噪比为-20~0 dB的数据集上平均识别准确率达到90.68%,在信噪比为0 dB时识别准确率为99.8%。与对照模型相比,所提模型在保持轻量级的前提下显著提高了自动调制识别准确率。 展开更多
关键词 自动调制识别 深度可分离卷积 注意力机制 低信噪比 轻量级网络
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科斯塔斯环路的软件设计实现
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作者 冯冀宁 董恩豪 《科技创新与生产力》 2025年第1期128-130,共3页
为了提高载波跟踪环路的便捷性和可携带性,采用C#语言的Winform开发框架来仿真接收机内部的科斯塔斯环路,用生成信号来跟踪原始信号,且随着时间的延长,原始信号和生成信号的曲线逐渐趋于融合。本文给出了环路的数学模型和公式,以及相关... 为了提高载波跟踪环路的便捷性和可携带性,采用C#语言的Winform开发框架来仿真接收机内部的科斯塔斯环路,用生成信号来跟踪原始信号,且随着时间的延长,原始信号和生成信号的曲线逐渐趋于融合。本文给出了环路的数学模型和公式,以及相关环路的工作原理,并分析了跟踪过程中出现的多普勒频移现象,以易于观察的方式显示出来。实验结果验证此方案的可行性,并可以生成可执行文件。 展开更多
关键词 C#语言 Winform开发框架 接收机 信号 科斯塔斯锁相环
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Narrow-band interference excision in spread-spectrum systems using new N-sigma algorithm based on fuzzy threshold 被引量:4
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作者 feng jining Wu Siliang Wang Ju 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2009年第1期20-26,共7页
The key to narrow-band interference excision in frequency domain is to determine the excision thresh- old in direct-sequence spread-spectrum (DS-SS) systems. The excision threshold is a non-linear function related t... The key to narrow-band interference excision in frequency domain is to determine the excision thresh- old in direct-sequence spread-spectrum (DS-SS) systems. The excision threshold is a non-linear function related to the number and the power of interference, and attempting to get the exact relation of threshold related to the number and the power of interference is almost impossible. The N-sigma algorithm determines the excision threshold using subsection function; however, the excision threshold determined by this method is not exact. A new method to determine the threshold of N-sigma algorithm is proposed. The new method modifies the scale factor N by use of the membership function. The threshold determined by this method is consecutive and smooth, and it is closer to the fact than that of the initial N-sigma algorithm. The GPS signal and single-tone (CW) interference (that is, typical narrow-band interference) are implemented in the simulation, and the results are presented to demonstrate the validity of the new algorithm. 展开更多
关键词 direct-sequence spread-spectrum systems adaptive frequency domain interference suppression fuzzyfunction GPS signal.
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TIME-VARYING AR MODELING AND ADAPTIVE IIR NOTCH FILTER FOR ANTI-JAMMING DSSS RECEIVER
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作者 feng jining Yang Xiaobo +1 位作者 Diao Zhejun W.u. Siliang 《Journal of Electronics(China)》 2010年第4期465-473,共9页
Using Time-Varying AR (TVAR) model and adaptive notch filter is a new method for the non-stationary jammer suppression in Direct Sequence Spread Spectrum (DSSS). The performance of TVAR model for Instantaneous Frequen... Using Time-Varying AR (TVAR) model and adaptive notch filter is a new method for the non-stationary jammer suppression in Direct Sequence Spread Spectrum (DSSS). The performance of TVAR model for Instantaneous Frequency (IF) estimation will be affected by some factors such as basis functions. Focusing on this problem, the optimal basis function of TVAR model for the IF estimation of the LFM signal is obtained in this paper. Besides the depth and width of notching, the phase properties of notch filter affect the Signal-to-Interference plus-Noise Ratio (SINR) of correlation output to the narrowband jammer suppression in DSSS, in response to the problem the closed solution of correlation output SINR improvement has been derived when a single frequency jammer passes through direct IIR notch filter, and its performance has been compared with those of five coefficient FIR filters. Later, a novel method for LFM jammer suppression based on Fourier basis TVAR model and direct IIR notch filter is proposed. The simulation results show the effectiveness of the proposed method. 展开更多
关键词 Direct Sequence Spread Spectrum (DSSS) receiver Time-Varying AR (TVAR) model IIR adaptive notch filter ANTI-JAMMING
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