数字通信信号调制识别与参数估计

发布时间：2018-05-30 11:40

本文选题：调制识别 + 特征提取　；参考：《南京理工大学》2014年硕士论文

【摘要】：通信信号的调制方式识别及调制参数的估计是通信信号处理领域的一个重要研究课题,在信号自适应识别、频谱监测和无线监听等方面都有着广泛的应用。随着通信技术的飞速发展,通信信号的体制和调制样式变得更加复杂多样,调制识别也变得更加重要。调制识别的目的就是在先验信息不足的情况下,正确的识别出通信信号的调制类型,并估计其调制参数进行解调。本文基于软件无线电平台设计了一种新型数字通信识别解调系统。先用修正周期图法和恒虚警处理来检测信号。再采用顺序正交下变频和可变次数的抽取提高信噪比。然后通过提取信号的瞬时特征参量来完成对2FSK、 GMSK、 BPSK、 QPSK这四种调制信号和两种导航信号的识别。最后估计通信信号的调制参数并解调,其中符号速率的估计利用数字信号的循环自相关特性,定时算法采用平方滤波法和三阶拉格朗日内插法。导航信号采用脉冲重复间隔(PRI)的直方图统计算法来识别TACAN和JTIDS两种导航信号。本文采用的调制识别算法运算量小,并且具有较好的扩展性。
[Abstract]:Modulation mode identification and modulation parameter estimation of communication signal is an important research topic in the field of communication signal processing. It has been widely used in signal adaptive identification, spectrum monitoring and wireless monitoring. With the rapid development of communication technology, communication signal systems and modulation patterns become more complex and diverse, and modulation recognition becomes more important. The purpose of modulation recognition is to correctly identify the modulation type of communication signal and estimate its modulation parameters to demodulate under the condition of lack of prior information. This paper designs a new digital communication identification and demodulation system based on software radio platform. First, the modified period diagram and CFAR processing are used to detect the signal. Then sequential orthogonal downconversion and variable number decimation are used to improve SNR. Then, by extracting the instantaneous characteristic parameters of the signal, the recognition of the 2FSK, GMSK, BPSK, QPSK and two navigation signals is completed. Finally, the modulation parameters of the communication signal are estimated and demodulated. The symbol rate is estimated by the cyclic autocorrelation property of the digital signal. The timing algorithm uses the square filtering method and the third order Lagrangian interpolation method. The TACAN and JTIDS navigation signals are identified by the histogram statistical algorithm of pulse repeat interval (PRI). The modulation recognition algorithm used in this paper has less computation and better expansibility.
【学位授予单位】：南京理工大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN911.3

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