test_5

(1)建立DQPSK调制和解调 SIMULINK仿真模型，评估其在AWGN信道和瑞利衰落信道下的误码率性能（画出信噪比变化时的误码率曲线）； (2)基于（1）建立的SIMULINK仿真模型，分别在AWGN信道和瑞利衰落信道下发送一个实际音频文件，在接收端实时播放出来((1) the DQPSK modulation and demodulation SIMULINK simulation model is established to evaluate the bit error rate performance under the AWGN channel and the Rayleigh fading channel (the bit error rate curve when the signal to noise ratio changes). (2) based on the (1) established SIMULINK simulation model, a real audio file is sent under the AWGN channel and the Rayleigh fading channel respectively, and it is played on the receiving end in real time.)

这是正交空时分组码中使用16QAM调制的源程序(16qam for OSTBC )

本文分析了多级维纳滤波器的特性，在加性噪声和二维天线阵列如均匀圆阵、均匀面阵、十字阵等条件和背景下，对信源个数和信源参数估计问题进行了研究，提出了基于多级维纳滤波器前向分解特性的快速参数估计方法，同时提出了基于多级维纳滤波器的二维ESPRIT参数估计方法，该类方法无需协方差矩阵的估计运算及分解运算，计算复杂度较低。另外，还提出了对信源个数的估计算法。(This paper analyzes the characteristics of multistage Wiener filter, in the additive noise and the two-dimensional antenna array such as a uniform circular array, the uniform array, cross array conditions and background, the source number and source parameter estimation problem undertook study, put forward based on Multistage Wiener filter prior to the decomposition characteristics of fast parameter estimation method, at the same time based on Multistage Wiener filter 2D ESPRIT parameter estimation method, the method does not need to estimate of covariance matrix calculation and decomposition, relatively low computational complexity. In addition, also put forward for source number estimation algorithm.)

说明：  LDPC的matlab仿真，使用BP算法，在BPSK调制信道下仿真(Matlab simulation of LDPC, using BP algorithm, simulation under BPSK modulation channel)

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.

explains OFDM transmitter AM/PM effect at 64QAM signals

说明：  在单径瑞利信道中，设计一种时分的导引辅助的信道估计方法，用Simulink和m语言进行仿真，测量BPSK的误码率性能，画出比特信噪比与误码率的关系曲线，并与理论误码率曲线进行对比(In the single path Rayleigh channel, a time-division guidance aided channel estimation method is designed. The simulation is carried out with Simulink and M language. The BER performance of BPSK is measured, and the relationship curve between bit signal-to-noise ratio and BER is drawn, and compared with the theoretical BER curve)

说明：  opnet仿真tdma 编程 很适合基本的学习(opnet tdma simulation)

说明：  巴特沃斯滤波器C语言实现,低通滤波器,IIR(Butterworth filter C language implementation, low pass filter, IIR)

多元ldpc编译码matlap程序，采用bp译码算法(Multiple LDPC coding and decoding)