基于中频信号特征参数的卫星通信调制样式识别
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摘要
卫星通信调制样式识别与参数估计是空间信息对抗的重要内容之一,在获取制太空权、制信息权方面发挥着至关重要的作用。针对卫星通信中常用通信信号的调制识别,在现有谱分析方法的基础上,提出3种特征参量,丰富识别的信号样式,完善了自动识别流程。该方法不需要精确的载频和码速率等先验信息,同时能够利用信号特征参数自动完成识别。仿真实验验证了所提算法的有效性,并对算法性能进行了分析。仿真结果表明,在SNR为5 dB时所有信号的正确识别率均达到96%以上。
The satellite communication modulation pattern recognition and parameter estimation are the important items of the spatial information countermeasure, and play the vital role in acquiring the controlling space right and controlling information right. On the basis of commonly-used communication signal modulation recognition in satellite communication and available spectral analysis method,three characteristic parameters are proposed to enrich the recognized signal pattern and perfect the automatic recognition process. The method can use the signal characteristic parameter to fulfill automatic recognition without accurate prior information such as carrier frequency and bit rate. The validity of the algorithm was verified with simulation experiments,and algorithm performance was analyzed. The simulation results show that the correct recognition rate of all the signals can reach 96% when the SNR is 5 dB.
The satellite communication modulation pattern recognition and parameter estimation are the important items of the spatial information countermeasure, and play the vital role in acquiring the controlling space right and controlling information right. On the basis of commonly-used communication signal modulation recognition in satellite communication and available spectral analysis method,three characteristic parameters are proposed to enrich the recognized signal pattern and perfect the automatic recognition process. The method can use the signal characteristic parameter to fulfill automatic recognition without accurate prior information such as carrier frequency and bit rate. The validity of the algorithm was verified with simulation experiments,and algorithm performance was analyzed. The simulation results show that the correct recognition rate of all the signals can reach 96% when the SNR is 5 dB.
引文
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[14]曾创展,贾鑫,刘淑茜.一种单信道时频重叠信号调制识别方法[J].电讯技术,2015,55(10):1164-1169.ZENG Chuangzhan,JIA Xin,LIU Shuqian. A modulation recognition method for time-frequency overlapped signals in single channel[J]. Telecommunication engineering,2015,55(10):1164-1169.
[15]于洋,李孝严,张晓春.BPSK,QPSK,UQPSK,64QAM信号自动调制识别[J].电子科技,2015,28(1):49-52.YU Yang,LI Xiaoyan,ZHANG Xiaochun. Automatic modulation recognition of BPSK,QPSK,UQPSK and 64QAM signals[J]. Electronic science and technology,2015,28(1):49-52.
[2]陈红,蔡晓霞,徐云,等.基于多重分形特征的通信调制方式识别研究[J].电子与信息学报,2016,38(4):863-868.CHEN Hong,CAI Xiaoxia,XU Yun,et al. Communication modulation recognition based on multi-fractal dimension characteristics[J]. Journal of electronics&information technology,2016,38(4):863-868.
[3]吴斌,袁亚博,汪勃.基于记忆因子的连续相位调制信号最大似然调制识别[J].电子与信息学报,2016,38(10):2546-2552.WU Bin,YUAN Yabo,WANG Bo. Maximum likelihood modulation recognition for continuous phase modulation signals using memory factor[J]. Journal of electronics&information technology,2016,38(10):2546-2552.
[4]付俊强,李蓉,赵成林,等.基于贝叶斯序贯推理的自适应调制识别算法[J].系统工程与电子技术,2015,37(12):2860-2864.FU Junqiang,LI Rong,ZHAO Chenglin,et al. Sequential Bayesian inference based adaptive modulation recognition algorithm[J]. Systems engineering and electronics,2015,37(12):2860-2864.
[5]何斌.基于高阶累积量的调制识别技术的研究[J].信息通信,2017(1):34-35.HE Bin. Research on the technology of modulation types recognition based on higher order cumulant[J]. Information&communications,2017(1):34-35.
[6]曾创展,贾鑫,刘淑茜.一种简单多径信道下的调制识别方法[J].电讯技术,2015,55(11):1266-1271.ZENG Chuangzhan,JIA Xin,LIU Shuqian. A modulation recognition method under simple multipath channel[J]. Telecommunication engineering,2015,55(11):1266-1271.
[7]孔豫京,黄焱,马金全.基于实归一化压缩循环统计量的调制识别方法[J].信息工程大学学报,2016,17(1):41-47.KONG Yujing,HUANG Yan,MA Jinquan. Modulation recognition methods based on real normalized compression cyclic statistics[J]. Journal of Information Engineering University,2016,17(1):41-47.
[8]张红超,欧阳喜,张冬玲.盲接收条件下单信道时频混叠信号的调制识别[J].信息工程大学学报,2016,17(1):34-40.ZHANG Hongchao,OUYANG Xi,ZHANG Dongling. Modulation recognition for time-frequency overlapped signals in singlechannel under blind reception conditions[J]. Journal of Information Engineering University,2016,17(1):34-40.
[9]陈泽艺.基于循环谱和高阶累积量的联合模式识别方法[J].电讯技术,2015,55(3):328-332.CHEN Zeyi. A combined modulation recognition based on cyclic spectrum and high-order cumulants[J]. Telecommunication engineering,2015,55(3):328-332.
[10]张洋,彭华.单通道混合信号调制识别[J].信息工程大学学报,2016,17(6):662-668.ZHANG Yang,PENG Hua. Modulation recognition for mixed signals in single channel[J]. Journal of Information Engineering University,2016,17(6):662-668.
[11]崔旭,熊刚.一种基于星座图模糊分析的数字调制识别方法[J].通信技术,2016,49(9):1155-1158.CUI Xu,XIONG Gang. Digital modulation recognition based on constellation diagram fuzzy analysis[J]. Communications technology,2016,49(9):1155-1158.
[12]陆珊珊,王伟,王国玉.幅相调制信号的星座图恢复与调制方式识别[J].国防科技大学学报,2016,38(3):130-134.LU Shanshan,WANG Wei,WANG Guoyu. Constellation recovery and modulation recognition for multiple quadrature amplitude modulation signals[J]. Journal of National University of Defense Technology,2016,38(3):130-134.
[13]刘莹,单洪,胡以华,等.基于谱分析的卫星通信调制识别算法[J].火力与指挥控制,2017,42(1):45-48.LIU Ying,SHAN Hong,HU Yihua,et al. Automatic recognition based on spectral feature in satellite communication[J].Fire control&command control,2017,42(1):45-48.
[14]曾创展,贾鑫,刘淑茜.一种单信道时频重叠信号调制识别方法[J].电讯技术,2015,55(10):1164-1169.ZENG Chuangzhan,JIA Xin,LIU Shuqian. A modulation recognition method for time-frequency overlapped signals in single channel[J]. Telecommunication engineering,2015,55(10):1164-1169.
[15]于洋,李孝严,张晓春.BPSK,QPSK,UQPSK,64QAM信号自动调制识别[J].电子科技,2015,28(1):49-52.YU Yang,LI Xiaoyan,ZHANG Xiaochun. Automatic modulation recognition of BPSK,QPSK,UQPSK and 64QAM signals[J]. Electronic science and technology,2015,28(1):49-52.