本课程的教学目的在于系统地介绍现代无线通信系统中所涉及的具有代表性的通信信号处理理论与方法以及主要应用。主要的内容有本课程的教学目的在于系统地介绍现代无线通信系统中所涉及的具有代表性的通信信号处理理论与方法以及主要应用。主要的内容有：(1)无线信道的基本知识，包括平坦信道、频率选择性信道、时间选择性信道、多输入多输出信道模型。（2）通信中的自适应系统辨识，包括信道的极零点模型、直接型全极点模型的参数估计、格型结构的全极点模型的参数估计、多径信道的自适应辨识。（3）信道辩识与均衡，包括盲均衡问题的数学模型、线形均衡器、决策反馈均衡器以及分数均衡器。（4）自适应均衡器，包括各种自适应均衡算法、分别基于接收端循环平稳性以及发射端循环平稳性的盲信道辩识与均衡、多信道盲辩识的子空间方法。（5）多用户检测，包括CDMA系统最佳多用户检测、解相关多用户检测、最佳线形多用户检测、盲多用户检测的理论与方法、盲多用户检测的子空间算法。本课程的后半将通过IEEE论文介绍和课堂讨论的形式，介绍当前国际上信道估计和均衡以及多用户检测的最新研究成果。

The teaching goal of this course is to introduce systematically the theory and approach of channel estimation and multi-user detection in modern wireless communication system. The main content is: (1) the basic knowledge about wireless channel, which includes flat channel, frequency-selective channel, time-selective channel, MIMO channel model. (2) adaptive identification of communication system, includes parameter estimation of ARMA model, AR direct model , and AR lattice model of channel, as well as adaptive identification of multi-path channel. (3) channel estimation and equalization, includes the mathematical model of blind equalization problem, linear equalizer, decision feedback equalizer and fractional equalizer. (4) adaptive equalizer, includes a variety of adaptive equalization algorithms, blind channel estimation and equalization based on the cycle-stationary of receiver and transmitter respectively, and the subspace method for multi-channel blind identification. (5) multi-user detection, includes the optimum multi-user detection in CDMA system, the decorrelation multi-user detection, the optimum linear multi-user detection, the theory and approach of blind multi-user detection, and the subspace algorithm for blind multi-user detection. In the second half part of this course, the latest achievement in research of channel estimation and equalization as well as multi-user detection will be presented through introduction of some IEEE papers and class discussion.