Nonlinear Equalization With Known Channel State Information In Satellite Communication

摘要：

Three nonlinear equalization algorithms are discussed for the case that training sequence is not available but channel state information (CSI) is known. The first algorithm is based on the extended Kalman filter (EKF). The second one is based on decision feedback equalization (DFE), where a modi.ed DFE (MDFE) is proposed. Both of the two algorithms use CSI directly. Independent of CSI, the third equalization algorithm is based on complex bilinear recurrent neural network (CBLRNN) and stop-and-go (S&G) algorithm. Simulation results show that MDFE is much better than the other two algorithms for nonlinear channels with either severe or mild intersymbol interference(ISI).

作者: Yinghua Li Yongjun Deng

作者单位: State Radio Monitoring Center,Beijing,100037,CHINA System Engineering Research Institute,Beijing,100036,CHINA

会议类型: 国际会议

会议名称: The 11th IEEE International Conference on Communications Systems(第11届电子和电气工程师协会国际通信系统会议)(IEEE ICCS 2008)

会议地点: 广州

会议语种:英文

在线出版日期: 2008-11-19（万方平台首次上网日期，不代表论文的发表时间）