MIMO-OFDM不同信道估计的对比

资 源 简 介

MIMO-OFDM不同信道估计的对比:%------------------------------------------ % EE359 final project, Fall 2002 % Channel estimation for a MIMO-OFDM system % By Shahriyar Matloub %------------------------------------------ clear all; %close all; i=sqrt(-1

详 情 说 明

MIMO-OFDM不同信道估计的对比:%------------------------------------------

% EE359 final project, Fall 2002

% Channel estimation for a MIMO-OFDM system

% By Shahriyar Matloub

%------------------------------------------

clear all;

%close all;

i=sqrt(-1);

Rayleigh=1;

AWGN=0; % for AWGN channel

MMSE=0; % estimation technique

Nsc=64; % Number of subcarriers

Ng=16; % Cyclic prefix length

SNR_dB=[0 5 10 15 20 25 30 35 40]; % Signal to noise ratio

Mt=2; % Number of Tx antennas

Mr=2; % Number of Rx antennas

pilots=[1:Nsc/Ng:Nsc]; % pilot subcarriers

DS=5; % Delay spread of channel

iteration_max=200;

In this project, we will compare the performance of different channel estimation techniques for MIMO-OFDM systems. We will specifically focus on the effects of Rayleigh fading and AWGN (Additive White Gaussian Noise) channel. The estimation technique used will be MMSE (Minimum Mean Square Error).

To begin, let's define some key parameters. The number of subcarriers is Nsc=64 and the cyclic prefix length is Ng=16. We will consider various signal to noise ratio (SNR) values, ranging from 0dB to 40dB. The MIMO-OFDM system under study has 2 transmit antennas (Mt) and 2 receive antennas (Mr).

In order to estimate the channel, we will use pilot subcarriers, which are evenly spaced throughout the subcarrier range. These pilot subcarriers will help us in accurately estimating the channel characteristics.

Additionally, we need to take into account the delay spread (DS) of the channel. A delay spread of 5 will be considered in this project.

Lastly, we will perform multiple iterations (iteration_max=200) to analyze the performance and compare the results for different channel estimation techniques.

Stay tuned for the detailed analysis and results!