基于时频域特征的CPM信号调制指数估计算法

A Modulation Index Estimation Algorithm of CPM Signal Based on Time-frequency Domain Characteristics

  • 摘要: 目前非合作条件下窄带系统中的连续相位调制(Continuous Phase Modulation, CPM)信号的调制指数估计算法存在依赖相关长度先验信息的问题。针对该问题,本文创新性地提出基于时频域特征的CPM信号调制指数估计算法。在研究不同相位脉冲差异后将CPM信号分为连续相位频移键控(Continuous Phase Frequency Shift Keying, CPFSK)信号和非CPFSK类信号。首先根据相位脉冲特点判定信号类型;其次基于CPM信号的循环平稳特性,利用变换后信号的功率谱联合估计频偏和整数倍调制指数分母;接着完成信号载波同步、定时同步并进行平滑处理;然后基于不同参数条件下信号的周期相位分布差异,针对调制指数调整为整数后的信号,计算三种符号周期下的分位函数曲线与对应相关长度下的各调制指数模板曲线欧式距离,选取三种符号周期条件下最小欧式距离对应的模板曲线,从而确定调整前信号的整数倍调制指数分子。最后综合调制指数分母和分子估计的结果确定信号的调制指数值。仿真实验结果:对于任意频率脉冲的部分响应CPM信号,若信号的调制指数h<1,在信噪比Eb/N0>16 dB时,平均识别准确率大于81%;若信号的调制指数h>1,在信噪比Eb/N0>18 dB时,平均识别准确率大于82.2%。仿真实验证明了本文算法不要求相关长度先验信息,适用于任意调制指数条件的部分响应CPM信号,并且在一定程度上能够区分调制指数值接近的信号。实采信号参数估计试验证明了本文算法的有效性。

     

    Abstract: ‍ ‍At present, under non-cooperative condition, the modulation index estimation algorithm of continuous phase modulation (CPM) signal in narrowband system depends on the prior information of constraint length. To avoid dependence on the constraint length, this paper creatively proposes a modulation index estimation algorithm based on time-frequency domain characteristics. CPM signals can be divided into continuous phase frequency shift keying (CPFSK) signals and non-CPFSK signals according to the characteristics of phase pulse. Firstly, determine the signal type according to the characteristics of phase pulse. Secondly, based on the cyclic property of CPM signals, the power spectrum of the transformed signal is used to estimate the frequency offset and integer multiples of the denominator of the modulation index. Third, complete signal carrier synchronization, timing synchronization and smooth processing; Then, based on the difference of the phase distribution of signals under different parameter conditions, aiming at the signal whose modulation index is adjusted to integer, calculate the Euclidean distance between the quantile function curve of the signal and the template curve under the corresponding constraint length in each sign period, and the modulation index of the template curve corresponding to the minimum Euclidean distance is chosen as the integral multiple of the modulation index molecule of the pre-adjustment signal. Finally, the modulation index value is determined by the results of the denominator and the numerator estimation. The simulation results show that for CPM signals with partial response of arbitrary frequency pulses, if the signal modulation index h is less than 1, the average recognition accuracy is more than 81% when the signal-to-noise ratio is greater than 16 dB. If the signal modulation index h is greater than 1, the average recognition accuracy is greater than 82.2% when the signal-to-noise ratio is greater than 18 dB. The simulation experiment proves that the proposed algorithm does not require the constraint length prior information, and is applicable to partial response CPM signals with arbitrary modulation index. Moreover, it can distinguish signals with similar modulation index values to a certain extent. The validity of the proposed algorithm is proved by the experiment of parameter estimation of real signal.

     

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