基于滑动平均和高阶统计量的数字调制识别 |
| |
引用本文: | 胡敏,易波,王世练.基于滑动平均和高阶统计量的数字调制识别[J].电子信息对抗技术,2006,21(4):15-18. |
| |
作者姓名: | 胡敏 易波 王世练 |
| |
作者单位: | 1. 湖南大学计算机与通信学院,长沙,410082 2. 国防科技大学电子科学与工程学院,长沙,410073 |
| |
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。
|
关 键 词: | 调制识别 滑动平均 高阶统计量 |
文章编号: | CN51-1694(2006)04-0015-04 |
修稿时间: | 2005年12月7日 |
Automatic Digital Modulation Recognition Using Moving Average and Higher Statistics |
| |
Authors: | HU Min YI Bo WANG Shi-lian |
| |
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. |
| |
Keywords: | modulation recognition moving average higher-order statistics |
本文献已被 CNKI 维普 万方数据 等数据库收录! |