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.