相位调制信号识别与参数估计研究
本文选题：相位展开 + 调制方式识别 ； 参考：《南京航空航天大学》2014年硕士论文
【摘要】：本文重点研究了电子侦查领域中五种相位调制信号(二相编码信号BPSK、四相编码信号QPSK、多相码信号(Frank码、P1码、P2码、P3码、P4码)、线性调频-二相编码复合调制信号LFM-BSPK、频率编码-二相编码复合调制信号FSK-BPSK)在多种常见雷达信号环境中的调制方式识别和参数估计。 首先，研究了相位调制信号的相位和频率特征，通过对信号进行相位展开的方法获取信号的时相和时频信息。以时相和时频特征为基础，根据时频曲线跳变点、时频曲线峰度系数、时相曲线拟合离差等方法对五种相位调制信号在多种常见的雷达信号环境中进行调制方式识别。 提出了一种MPSK信号载频盲估计的算法，在频域截取滤波的基础上，通过平方运算消除伪码信息，使其转化为正弦波信号，接着估计正弦波信号的载频。总结了MPSK信号其他参数的盲估计方法，并在此基础上提出了一种改进的解码算法。最终形成一套完成MPSK信号参数估计方法。 研究了LFM-BPSK信号的参数盲估计方法。首先对信号作平方运算以消除相位跳变，，使其转化为LFM信号，估计LFM的起始频率和调制斜率，将估计结果作为二维牛顿迭代的初始值，进行一次二位牛顿迭代以提高估计精度。并在此基础上，将LFM-BPSK转化为基带信号，根据MPSK信号的解码算法对基带信号进行解码。 研究了FSK-BPSK信号的参数盲估计方法。在对FSK-BPSK信号调制方式识别的同时，以FSK的码元跳变点对信号进行分段，估计FSK码元宽度。在每个FSK码元上，估计BPSK的载频等参数，最终实现整体解码。 Matlab仿真结果表明，本文算法具有较好估计性能，且计算复杂度低，具有较高的工程应用价值。
[Abstract]:This paper focuses on five kinds of phase modulated signals (BPSK, QPSK, P4), LFM-BSPK, frequency and frequency. The modulation mode identification and parameter estimation of FSK-BPSK) in a variety of common radar signal environments. Firstly, the phase and frequency characteristics of the phase-modulated signal are studied, and the time-phase and time-frequency information of the signal is obtained by phase unwrapping. On the basis of time-frequency and time-frequency characteristics, five kinds of phase-modulated signals are identified in various radar signal environments according to time-frequency curve jump point, time-frequency curve kurtosis coefficient, time-frequency curve fitting deviation and so on. An algorithm for blind carrier frequency estimation of MPSK signals is proposed. Based on frequency domain interception and filtering, the pseudo-code information is eliminated by square operation, which is converted into sine wave signal, and then the carrier frequency of sine wave signal is estimated. The blind estimation method for other parameters of MPSK signal is summarized, and an improved decoding algorithm is proposed. Finally, a set of parameters estimation method for MPSK signal is formed. A blind parameter estimation method for LFM-BPSK signal is studied. First, the signal is squared to eliminate the phase jump, which is transformed into LFM signal, and the initial frequency and modulation slope of LFM are estimated. The estimation result is regarded as the initial value of the two-dimensional Newton iteration, and the estimation accuracy is improved by a two-bit Newton iteration. On this basis, LFM-BPSK is converted into baseband signal, and the baseband signal is decoded according to the decoding algorithm of MPSK signal. A blind parameter estimation method for FSK-BPSK signal is studied. While the modulation mode of FSK-BPSK signal is recognized, the symbol width of FSK is estimated by segmenting the signal with the symbol jump point of FSK. The carrier frequency and other parameters of BPSK are estimated on each FSK symbol, and the whole decoding is realized. The simulation results of Matlab show that the proposed algorithm has good estimation performance, low computational complexity and high engineering application value.
【学位授予单位】：南京航空航天大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN911.3
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