摘要
卫星通信中信号调制方式的识别在非合作通信中有着重要的意义。针对ACM过程在降雨环境下的调制识别问题,对降雨环境进行建模,进行了雨衰环境下调制方式的盲识别研究。在对降雨环境进行建模过程中,将雨衰引起的天线噪声温度的影响考虑在内。对于DVB-S2标准中采用的4种调制方式,采用了基于高阶累积量的算法进行识别。研究结果表明,不同降雨环境下的调制识别正确率变化不大,且均在90%以上。
The modulation recognition of satellite communication signal plays a significant role in non-cooperative communication. Aiming at the issue of modulation recognition in a rainfall environment, a model of the rainfall environment was built and then blind modulation recognition was studied in this environment. When building model, effect of antenna noise temperature caused by the rain attenuation was taken into account. To recognizes four modulation adopted by DVB-S2 standard, the algorithm based on higher-order cumulant was used. The results show that correct rates of modulation recognition change little according to different rainfall environment and the recognition accuracy is relatively high, quantitatively more than 90%.
出处
《电信科学》
北大核心
2015年第6期54-63,共10页
Telecommunications Science
基金
国家自然科学基金资助项目(No.91338201
No.91438109
No.61401507)~~
关键词
卫星通信
ACM
DVB-S2
调制识别
高阶累积量
satellite communication, ACM, DVB-S2, modulation recognition, higher-order cumulant