chuankoucaiji

msk调制及在AWGN信道中的误码率仿真(MSK modulation and bit error rate simulation in AWGN channel)

介绍了使用simulink对通信系统进行仿真的基础知识，以及对OFDMK、CDMA、多址接入MIMO仿真的详细解释(This paper introduces the basic knowledge of using Simulink to simulate the communication system, and explains in detail the simulation of OFDMK, CDMA and multiple access MIMO.)

混沌键控中的ＣＳＫ：ccoherent_csk ｓｉｍｕｌｉｎｋ搭建模型(Chaos Shift Keying in the CSK: ccoherent_csk simulink model structures)

eetop.cn_PLLnoise+jitter_ams model

说明：  2. 关于无线信道的多普勒谱，请回答以下问题： (1) 在某些无线信道中，多普勒频移会引起无线信道输出信号的混叠。请描述产生混叠的各种原因； (2) 无线信道中的多普勒谱有一种经典谱(classic spectrum)，请解释产生这种谱形状的机理； (3) 请用Simulink工具编写代码(S-Function方式)，产生一单径瑞利信道，其多普勒谱为经典谱，其中移动速率为120km/h。并请描述：自己用计算机产生的经典谱是正确的依据。(2. Regarding the doppler spectrum of the wireless channel, please answer the following questions: (1) in some wireless channels, doppler frequency shift will cause aliasing of the output signals of the wireless channel.Describe the various causes of aliasing; (2) there is a classic spectrum in the doppler spectrum in the wireless channel, please explain the mechanism of producing this spectrum shape; (3) please use Simulink tool to write code (s-function mode) to generate a single-path Rayleigh channel, whose doppler spectrum is the classical spectrum, in which the moving rate is 120km/h.And please describe: your own computer generated classical spectrum is the correct basis.)

说明：  一种基于多用户子载波分配的算法希望对大家有用。(Based on Multi-user subcarrier allocation algorithm for all of us hope that useful)

数字通信原理是一门学习通信原理的重要的基础课程，该ppt讲述了通信原理的基础知识，适合初学者(Principles of digital communication is an important principle of learning communication basic course, the ppt about the basic knowledge of communication principles, suitable for beginners)

基于特征函数的张量分解相关代码，结合“lm”，“als”等很多算法。 主要用于处理欠定MIMO系统识别(Based on the characteristic function of the tensor decomposition of the relevant code, combined with the " lm" , " als" and many other algorithms. Mainly used for underdetermined MIMO system identification process)

不同GI长度的OFDM-QAM系统性能仿真(Performance simulation of OFDM-QAM systems with different GI lengths)

Abstract—In this paper, we study the joint estimation of inphase and quadrature-phase (I/Q) imbalance, carrier frequency offset (CFO), and channel response for multiple-input multipleoutput (MIMO) orthogonal frequency division multiplexing (OFDM) systems using training sequences. A new concept called channel residual energy (CRE) is introduced. We show that by minimizing the CRE, we can jointly estimate the I/Q imbalance and CFO without knowing the channel response. The proposed method needs only one OFDM block for training and the training symbols can be arbitrary. Moreover when the training block consists of two repeated sequences, a low complexity two-step approach is proposed to solve the joint estimation problem. Simulation results show that the mean-squared error (MSE) of the proposed method is close to the Cramer-Rao bound (CRB). Index Terms—MIMO OFDM, CFO, I/Q imbalance, channel estimation.