TWACS communication signal feature extraction method based on time-frequency analysis

• Main Authors: SU JINGHUA, ZHENG DAWEI, XIA LILEI, WANG PENG, LIU SHULI, LIU HAN, YANG SHENQUAN, JIN ZHIQIANG, ZHAO XIAOHONG, FENG LIANG, WU KUIHUA, ZHANG LIYANG, YUAN CHAO, LIU XIAOYUN, NIE QIBING, PANG YIJUN, BI XIAOWEI, WANG YIMENG, ZHOU JIE, LI ZHAO, ZHANG YONG, XU XIA, LIU ZHAO, WANG YUJIA, LI KAI, BI XIAOTAO, LIU LEI, WANG YANMEI, LIANG RONG, YANG BO, LI XUN, ZHANG KUN, WANG HUI
• Format: Patent
• Language: Chinese; English
• Published: 22.01.2019
• Subjects: ELECTRIC COMMUNICATION TECHNIQUE; ELECTRICITY; TRANSMISSION; TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION

The embodiment of the invention discloses a method for extracting characteristics of TWACS communication signals based on time-frequency analysis, which comprises the following steps: establishing transmission model of power frequency communication, analyzing transmission characteristics of modulated signals; by analyzing the short-time Fourier transform, Wegener distribution, the Wegener distribution method for suppressing cross interference is proposed. The Wegener distribution method with cross-interference suppression has good time-frequency focusing and interference suppression characteristics, and has good computational efficiency. It can overcome the influence of zero-crossing time difference of the transceiver voltage, and greatly enhance the anti-interference ability of the powerfrequency communication system, and has very good application value. 本发明实施例公开了基于时频分析的提取TWACS通信信号特征的方法，包括建立工频通信的传输模型，分析调制信号的传输特性；通过分析短时Fourier变换、魏格纳分布，提出了抑制交叉干扰的魏格纳分布法，抑制交叉干扰的魏格纳分布法具备良好的时频聚焦性和干扰项抑制特性，并且有着很好的计算效率，能够克服了收发端电压过零时差