张余, 许金勇, 柳永祥, 刘忠英, 陈勇. 基于相关标识符的频谱水印嵌入与提取方法[J]. 电波科学学报, 2016, 31(1): 185-192. doi: 10.13443/j.cjors.2015031701
      引用本文: 张余, 许金勇, 柳永祥, 刘忠英, 陈勇. 基于相关标识符的频谱水印嵌入与提取方法[J]. 电波科学学报, 2016, 31(1): 185-192. doi: 10.13443/j.cjors.2015031701
      ZHANG Yu, XU Jinyong, LIU Yongxiang, LIU Zhongying, CHEN Yong. Spectrum watermark embedding and extracting method based on correlation identifier[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2016, 31(1): 185-192. doi: 10.13443/j.cjors.2015031701
      Citation: ZHANG Yu, XU Jinyong, LIU Yongxiang, LIU Zhongying, CHEN Yong. Spectrum watermark embedding and extracting method based on correlation identifier[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2016, 31(1): 185-192. doi: 10.13443/j.cjors.2015031701

      基于相关标识符的频谱水印嵌入与提取方法

      Spectrum watermark embedding and extracting method based on correlation identifier

      • 摘要: 为有效标识无线电设备身份信息,快速确定无线电干扰,提出了一种基于相关标识符的频谱水印嵌入与提取方法.该方法中发射端在标识符嵌入控制模块的控制下将频谱水印嵌入位置标识符嵌入到通信信号中,然后通过对含有频谱水印嵌入位置标识符的通信信号小波分解低频系数进行量化来嵌入频谱水印;接收端通过分析相关标识符的自相关和互相关特性来检测频谱水印,对接收到的中频信号小波分解低频系数实施量化处理来提取频谱水印.理论分析与仿真结果表明:提出的方法能够在不对原始信号正常解调产生有害干扰的条件下,可有效提取频谱水印,不需解调原始信号,可有效减少频谱水印提取的复杂度,为有效标识和识别无线电设备身份提供了技术手段.

         

        Abstract: To effectively identify the radio equipment and quickly ascertain the radio interference, this paper presents a spectrum watermark embedding and extracting method based on the correlation identifier. The correlation identifier that identified the embedding location of spectrum watermark was firstly embedded into communication signals under the control of identifier embedded control module in the transmitting terminal. Then the spectrum watermark was embedded by quantizing the low-frequency of wavelet decomposition of the communication signal with correlation identifier. The spectrum watermark was detected by analyzing these characteristic of autocorrelation and cross-correlation of correlation identifier. And it was extracted by quantizing the low-frequency of wavelet decomposition of received signals in the receiving terminal. Theory analysis and simulation results show that the proposed method can effectively extract the spectrum watermark without harmful inference to normal demodulation of communication signals, and there is no need to demodulate the communication signal, which can effectively reduce the complexity of spectrum watermark extracting. Thus, it provides a technical support for effectively identifying and ascertaining the radio equipment.

         

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