Non_linear_Channel_equalizer

描述了智能天线在无线通信环境下的各种应用。(Describes a smart antenna in a wireless communication environment, a variety of applications.)

CDMA 系统仿真平台，有完整注释，对了解CDMA系统级仿真很有帮助(CDMA System Simulation)

通过c语言编程实现can通信中的数码管驱动问题。经过实验验证，该代码完全可行(C language programming through the digital communication can drive problems. Experimental results show that the code entirely feasible)

说明：  ：载波频率偏移是OFDM系统实现的关键问题之一。分析了OFDM 系统载频偏移估计的2 种算法，即利用循环前缀和训练序列方法。它们均为最大似然估计方法。分别讨论了它们的基本 思想、实现方法和仿真结果。可以看出基于循环前缀算法复杂度较小，精度不高，而基于训练序列 的算法有较高的估计精度，但降纸了系统传输效率。(Abstract：Carrier frequency ofset is one of the key problems in OFDM system．Two foundational methods 。cycling prefix—based and training sequence—based algorithms。to estimate OFDM carriers~equency ofset are analyzed．Then it discusses their basic thoughts。implementing methods and simulation resuits． Finally。merits and demerits of every algorithm are supposed．It concludes that the cycling prefix— based algorithm has less complexity and less precision。and that the training sequence—based algorithm has better estimation performance at the cost of transmission efficiency．)

重点研究 了低信噪比﹑多径瑞利衰落信道条件下，基于高阶累积量的OFDM信号盲识别技 术。提出了利用奇数阶累积量区分OFDM信号与单载波信号的方法，并对基于三 阶和五阶累积量的算法进行了仿真分析。 (﹑ Focus on the low SNR multipath Rayleigh fading channel conditions, based on cumulant OFDM signal blind identification technology. Made a distinction between the use of odd-order cumulants single-carrier OFDM signal with the signal approach, and based on the cumulative amount of third-order and fifth-order algorithm for the simulation.)

认知无线电中频谱感知的方法，基于能量检测的算法和仿真(energy detection)

说明：  利用matlab自适应滤波器实现心电信号的去噪 自适应滤波器 心电图(De-Noising of Electrocardiogram (ECG) with Adaptive Filter Using MATLAB)

working of the fifth generation intelligent radio that is Cognitive Radio (CR) system which works on predictive data rate and propose ANFIS based learning scheme to introduce intelligence in it. The testing data set is taken from training set. Validation data set is unseen data. RMSE and prediction accuracy are used as performance index. Two gaussian membership functions are taken for each input. Error goal was set for .001.Training was for 300 epochs. It is seen prediction accuracy was 91 percentages in testing case and 89 in validation. RMSE difference between validation and testing case very small.

OFDM通信系统的仿真代码，可用作数字通信的分析参考(The simulation code of OFDM communication system can be used as analysis reference of digital communication.)

2x2，4x4MIMO的误码率性能仿真，比较了ML,ZF,MMSE,ZF-SIC,MMSE-SIC在4QAM和16QAM下的性能曲线(The BER performance of 2x2 and 4x4MIMO is simulated, and the performance curves of ML, ZF, MMSE, ZF-SIC, and MMSE-SIC under 4QAM and 16QAM are compared)