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作 者:宋恒[1] 毛忠阳[1] 王红星[1] 马时平[2]
机构地区:[1]海军航空工程学院电子信息工程系,山东烟台264001 [2]空军工程大学工程学院,西安710038
出 处:《北京邮电大学学报》2009年第5期93-98,共6页Journal of Beijing University of Posts and Telecommunications
基 金:中国博士后科学基金项目(20070421094);国家自然科学基金项目(60772056)
摘 要:针对在快衰落信道中自适应滤波器跟踪性能差的问题,结合容量控制和半盲技术的自适应滤波原理,提出一种新的结构风险最小化恒模半盲均衡器(SCM-SBE).该方法在充分挖掘通信信号中学习信息的同时,通过容量控制手段补充滤波器自身的结构信息,以学习信息量的最大化从根源上提高滤波器的跟踪性能.仿真结果表明,SCM-SBE可以在训练数据较少的条件下保持良好的跟踪性能,在无线移动通信中具有一定的应用前景.According to the track performance of adaptive filters with poor performance in rapid fading channel,an adaptive filter principle based on capability control and semi-blind technology is presented.And a semi-blind equalizer based on constant modulus characteristic and structure risk minimum(SCM-SRM) criterion is designed.The information of communication signals learning should sufficiently be dug.On the other hand,the structure information of oneself of filters should also sufficiently be dug(by use of a capability control method). In a word, the track performance of filters is improved by maximizing amount of learning information. Simulation is carried out that compared with a typical recursive least squares equalizer and a constant modulus semi-blind equalizer, SCM-SBE has better track performance in much less training data, and adapts for wireless motion communications.
分 类 号:TN911.5[电子电信—通信与信息系统]
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