冲击噪声环境下基于特征函数的调制识别算法
doi: 10.3724/SP.J.1146.2006.00490
Algorithm for Modulation Recognition Based on Characteristic Function in Impulsive Noise Environment
-
摘要: 无线通信环境中不仅存在高斯噪声，而且存在冲击噪声。通过分析复循环对称稳定冲击噪声的特点，该文提出利用接收信号特征函数相位进行调制识别的方法。分类特征向量由不同角度对应的特征函数相位组成，对未知信号采用最小欧式距离法进行分类。理论分析证明，采用特征函数相位作为分类特征，可以完全抑制各种特征指数的分布噪声。仿真结果表明，在冲击噪声及高斯噪声环境下，信噪比大于8dB时，平均识别正确率都高于90％，该算法分类效果良好。
-
关键词:
- 调制识别；稳定分布；特征函数
Abstract: Wireless channel environment is influenced by Gauss noise and impulsive noise. A new algorithm is proposed based on Characteristic Function (CF) phase of received signal by analyzing the feature of SS impulsive noise. The classification vectors are composed of CF phase corresponding to different angle. The method of minimum mean squared distance is used to classify unknown modulation type. Theoretical analysis proves this algorithm is invariant to the presence of SS noise. Simulations show average successful rates are both more than 90% in impulsive noise and Gauss noise channel when SNR is above 8dB. -
Nandi A K and Azzouze E E. Algorithms for automatic modulation recognition of communication signals [J].IEEE Trans. on Communications.1998, 46(4):431-436[2]Drumright T A and Ding Zhi. A new algorithm for QAM signal classification in AWGN channels[C]. International Symposium on Circuits and Systems (ISCAS), Scottsdale, Arizona, USA, 2002, 1: 849-852.[3]Swami A and Sadler B M. Hierarchical digital modulation classification using cumulants[J].IEEE Trans. on Communications.2000, 48(3):416-429[4]范海波，杨志俊，曹志刚．卫星通信常用调制方式的自动识别[J]．通信学报，2004, 25(1): 140-149. Fan Hai-bo, Yang Zhi-jun, and Cao Zhi-gang. Automatic recognition for common used modulations in satellite communication [J]. Journal of China Institute of Communications, 2004, 25(1): 140-149.[5]Tsihrintzis G A and Nikias C L. Fast estimation of the parameters of alpha-stable impulsive interference[J].IEEE Trans. on Signal Processing.1996, 44(6):1492-1503[6]Nikias C L and Shao M. Signal processing with alpha-stable distributions and applications[M]. New York:Wiley, 1995: 1-2.[7]Tsakalides P and Nikias C L. The robust covarition-based MUSIC algorithm for bearing estimation in impulsive environments[J].IEEE Trans. on Signal Processing.1996, 44(7):1623-1633[8]邱天爽，张旭秀，李小兵等. 统计信号处理－非高斯信号处理及应用. 北京: 电子工业出版社，2004, 6: 167-198. -
计量
- 文章访问数: 2949
- HTML全文浏览量: 110
- PDF下载量: 873
- 被引次数: 0
下载:
