IEEE_80211n_CMSC_20040527

实现基于STBC的MIMO_OFDM通信系统在不同信噪比情况下接收端的误比特率的仿真。发射端包括基于基带调制、空时编码、导频插入、IFFT、串并合并以及添加循环前缀；接收端包括去除循环前缀、取出导频估计信道、FFT运算以及并串合并，空时解码等。仿真中采用QPSK、空时编码采用4*3的复正交空时编码矩阵。OFDM子载波数为100，每个子载波传输66个符号，每个符号2比特。IFFT长度为512个符号。发射天线为3个接收天线为2个。(The BER simulation of MIMO_OFDM communication system based on STBC under different SNR is realized. The transmitter includes baseband modulation, space-time coding, pilot insertion, IFFT, serial-parallel combination and adding cyclic prefix; the receiver includes removing cyclic prefix, extracting pilot estimation channel, FFT operation, parallel-serial combination, space-time decoding, etc. The complex orthogonal space-time coding matrix is used in QPSK and space time coding in 4*3. The number of OFDM subcarriers is 100, and each subcarrier transfers 66 symbols with 2 bits per symbol. IFFT is 512 symbols in length. The transmitting antenna is 3 receiving antennas, 2.)

说明：  High Definition Multimedia Specification Version 2.0

说明：  用MATLAB进行AM调制解调的仿真实验 包含包络 加噪 调制系数等变量的影响(The simulation experiment of AM modulation and demodulation with MATLAB includes the influence of envelope plus noise modulation coefficient and other variables)

c++ source fft ifft 2-d FFT ofdm

convolution and reed solomon coding for bpsk

ADIBEAM Abstract—the increase in navigation accuracy demanded by EGNOS and Galileo and their future evolution encourages the study and design of advance receiver architectures. In that direction, the ADIBEAM project focuses on the design of high accuracy ground stations, specifically GNSS Reference Stations, in order to improve its robustness in front of multipath and interference errors with the goal of achieving centimeter level tracking accuracy. The adoption of antenna arrays and digital beamforming at the ground reference station receivers is one of the most promising approaches to cope with errors induced by multipath and interference.

说明：  数据辅助定时同步算法T.Schmidl 和D.Cox,Park&Cheon和minn(Data-Assisted Timing Synchronization Algorithms T.Schmidl and D.Cox, Park&Cheon and Minn)

说明：  wireless communication channels model

说明：  convolution and reed solomon coding for bpsk

说明：  遗传算法的应用实例，包括一维函数最小值和多维优化bp神经网络。非常适合初学者。(The application examples of genetic algorithm include minimum value of one-dimensional function and multi-dimensional Optimized BP neural network. Perfect for beginners)