▍1. MIMO_OFDM联合仿真的matlab 源程序(很完整)
MIMO——OFDM系统实现,代码完整,适合练习使用(The implementation of MIMO and OFDM system)
MIMO——OFDM系统实现,代码完整,适合练习使用(The implementation of MIMO and OFDM system)
说明: BOC调制的Matlab程序仿真及Simulink模型(Matlab program and BOC modulation simulation model of Simulink)
画出13位巴克码的时域波形及其自相关函数(waveform and autocorrelation of 13 bit barker code)
说明: MIMO 信道容量的仿真 和单天线相比 多天线的信道容量仿真比较 绝对可以运行(MIMO channel capacity of the simulation and compared to single-antenna multi-antenna channel capacity can run a simulation comparing the absolute)
Matlab平台下仿真实现2*2, 4*4, 6*6天线Alamouti空时编码的MIMO系统,画出不同信噪比下的性能曲线对比。(2* 2, 4* 4, 6* 6 antenna Alamouti space-time coding MIMO system Matlab simulation platform, draw the comparison of different signal-to-noise ratio performance curve.)
说明: 设计一个数字低通滤波器,来近似一个理想数字滤波器(Design a digital low-pass filter to approximate an ideal digital filter)
脉冲压缩的匹配滤波。目标距离分别为10米,30米和100米,对于未压缩的脉冲,三个回波信号混叠在一起,不能分辨,而经过脉冲压缩的脉冲信号则可通过匹配滤波收到3个回波信号(Matched filtering for pulse compression.Target distances are 10 metres, 30 metres and 100 metres, respectively. For uncompressed pulses,The three echo signals are overlapped and can not be distinguished. While pulse compression can distinguish three echo signals after matched filtering)
一段MIMO信道matlab源代码,适合论文仿真编程(A MIMO channel matlab source code, suitable for the simulation programming)
说明: 脉冲压缩的匹配滤波。目标距离分别为10米,30米和100米,对于未压缩的脉冲,三个回波信号混叠在一起,不能分辨,而经过脉冲压缩的脉冲信号则可通过匹配滤波收到3个回波信号(Matched filtering for pulse compression.Target distances are 10 metres, 30 metres and 100 metres, respectively. For uncompressed pulses,The three echo signals are overlapped and can not be distinguished. While pulse compression can distinguish three echo signals after matched filtering)
说明: cpofdm信道模型仿真,通过仿真得到cpofdm信道模型的复杂度和在各种信噪比下的误码率(Through the simulation of cpofdm channel model, the complexity of cpofdm channel model and the bit error rate under various SNR are obtained)
说明: 卷积码、RS码、LDPC码、turbo码的生成及识别。(Generation and recognition of convolutional codes, RS codes, LDPC codes and TurBO codes.)
利用Matlab实现的二维TDOA定位算法仿真程序。。(2D TDOA algorithm implemented by Matlab simulation program. .)
matlab 实现MIMO-OFDM的信道估计(Channel estimation for the implementation of MIMO-OFDM by MATLAB)
(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.)
TDOA算法包括泰勒,最小二乘法,chan算法及改进算法等(TDOA algorithm includes Taylor, least square method, Chan algorithm and improved algorithm)
包括极化码基于CRC的SCL译码算法,Lazy Copy机制,定点量化,代码和程序说明文档(Polar code with fast-list-decoder)
基于压缩感知的MASSIVE MIMO信道估计,采用OMP算法解决稀疏信道估计问题。MASSIVE MIMO多小区多用户模型,合成稀疏信道(有效解决导频污染)。(Based on compressed sensing for MASSIVE MIMO channel estimation, OMP algorithm is used to solve the sparse channel estimation problem. MASSIVE MIMO multi cell and multi-user model, to synthesize sparse channel (effectively solve pilot pollution).)