| 一种短波信道中数字信号调制方式识别算法 | |
| 李鹏 ; 汪芙平 ; 王赞基 ; LI Peng ; WANG Fu-ping ; WANG Zan-ji | |
| 2010-06-10 ; 2010-06-10 | |
| 关键词 | 调制识别 短波信道 零记忆非线性 盲均衡 modulation recognition,shortwave channel,zero-memory non-linearity,blind equalization TN911.3 |
| 其他题名 | Algorithm for modulation recognition in shortwave channel environment |
| 中文摘要 | 短波天波信道存在多径效应及冲击和高斯噪声。针对短波信道特点,提出先利用零记忆非线性系统抑制冲击噪声,后分段盲均衡,基于最大后验概率识别的分类方法。零记忆非线性系统可抑制冲击噪声,而让信号无失真通过。分段均衡减弱信道时变和参数估计误差对均衡器影响。由于冲击噪声的瞬时性和信道时变性,使每段信号均衡效果并不一样,采用最大后验概率的方法选用均衡效果最好的一段信号识别。仿真表明,在典型短波信道且含有冲击噪声情况下,信噪比10dB时,平均识别概率大于90%,该算法适合在实际中应用。; The shortwave channel is a kind of time-variant multipath channel with impulsive noise and Gauss noise.The method of zero-memory non-linearity system and segmental blind equalization is proposed for modulation recognition.An ideal zero-memory non-linearity system transforms the impulsive noise to Gauss noise,leaving the signal intact.Segmental equalization relieves the influence on equalizer caused by time-variant channel and error of parameters estimation.The results of equalization have much difference because of remain impulsive noise and time-variant channel.The optimal equalized segmentation determining the modulation type is selected by the maximum posterior probability.Simulation results show average successful rates are more than 90% in shortwave channels with impulsive noise when SNR is above 10dB. |
| 语种 | 中文 ; 中文 |
| 内容类型 | 期刊论文 |
| 源URL | [http://hdl.handle.net/123456789/62602]  |
| 专题 | 清华大学 |
| 推荐引用方式 GB/T 7714 | 李鹏,汪芙平,王赞基,等. 一种短波信道中数字信号调制方式识别算法[J],2010, 2010. |
| APA | 李鹏,汪芙平,王赞基,LI Peng,WANG Fu-ping,&WANG Zan-ji.(2010).一种短波信道中数字信号调制方式识别算法.. |
| MLA | 李鹏,et al."一种短波信道中数字信号调制方式识别算法".(2010). |
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