【摘要】 提出一种滑动平均和高阶统计量结合的优化识别方法。先对接收信号平滑优化,再利用高阶统计量区分信号,使得信号在低信噪比且未知信号和噪声功率的情况下也能有较高的识别率。该方法计算简单,有效地抑制了噪声影响,改善了原算法的识别效果。论文进行了理论推导,并用仿真实验进行了验证。更多还原

【Abstract】 An improved method for modulation recognition based on second and higher statistics and moving average is presented.This method uses moving average smoothing to preprocess the received signal.Then the higher statistics is used to recognize various signals,and the method can make better performance in low SNR range while the signal and noise power is unknown before.The method can suppress the Gaussian white noise and be calculated simply.This algorithm is illuminated and verified using simulation experiments.更多还原