基于累积量的QPSK、OQPSK、8-PSK和16-PSK的自动调制分类

Dibyajyoti Das, P. Bora, R. Bhattacharjee
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引用次数: 14

摘要

提出了一种基于四阶累积量的QPSK、OQPSK、8-PSK和16-PSK的自动调制分类方法。该方法包括两个步骤:(1)利用接收到的噪声信号样本的后向差的四阶零共轭累积量对QPSK和OQPSK进行分类;(2)利用接收到的噪声信号及其平方的四阶零共轭累积量对QPSK、8-PSK和16-PSK进行分类。第1步的指导是观察到这两种调制格式的四阶零共轭差的累积量是不同的。步骤2是基于这样一个事实,即MPSK信号的平方导致另一个MPSK信号具有M/2相位状态。蒙特卡罗仿真结果表明,该方法能够在中等低的信噪比和较小的样本量下对上述调制方案进行分类。该方法对载波相位和频率估计误差具有较强的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cumulant based automatic modulation classification of QPSK, OQPSK, 8-PSK and 16-PSK
An automatic modulation classification (AMC) method based on the fourth-order cumulants is proposed to classify QPSK, OQPSK, 8-PSK and 16-PSK. The method consists of two steps: (1) classification of QPSK and OQPSK using the fourth order zero-conjugate cumulant of backward differences of the samples of the received nosiy signal and (2) classification of QPSK, 8-PSK and 16-PSK using the fourth order zero-conjugate cumulant of the received noisy signal and their squares. Step 1 is guided by the observation that the fourth order zero-conjugate cumulants of backward differences are distinct for those two modulation formats. Step 2 is based on the fact that the squaring of an MPSK signal results in another MPSK signal with M/2 phase states. The Monte Carlo simulation results show that the proposed method is able to classify the afore-mentioned modulation schemes at moderately low signal to noise ratios with a small sample size. The proposed method is robust to the presence of carrier phase and frequency estimation errors.
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