Description: This project demonstrates OFDM with adaptive modulation applied to Multiple-Input Multiple-
Output (MIMO) systems.
The analysis and simulation
is considered in two stages. The rst stage involves the application of a variable-rate
variable-power MQAM technique for a Single-Input Single-Output (SISO) OFDM system.
The second stage applies adaptive modulation to a general MIMO system
by making use of the Singular Value Decomposition to separate the MIMO channel into parallel
subchannels. Platform: |
Size: 15360 |
Author:steven |
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Description: 本代码给出基于MIMO系统下的系统容量分析，其中得出了SISO,SIMO,MISO,MIMO详细的仿真代码和仿真结果分析。对于研究不同环境下的系统容量很有帮助。-The code given system based on MIMO system capacity analysis, which come to SISO, SIMO, MISO, MIMO simulation code and a detailed analysis of simulation results. Platform: |
Size: 94208 |
Author:赵琪 |
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Description: A multiple-input multiple-output (MIMO) communication system combined with the orthogonal frequency division multiplexing (OFDM) modulation technique can achieve reliable
high data rate transmission over broadband wireless channels. Channel state information for both single-input single-output (SISO) and MIMO systems based on pilot aided arrangement is
investigated in this paper. The estimation of channel at pilot frequencies with conventional Least Square (LS) and Minimum Mean Square (MMSE) estimation algorithms is carried out
through Matlab simulation. The performance of MIMO OFDM and SISO OFDM are evaluated on the basis of Bit Error Rate (BER) and Mean Square Error (MSE) level.-A multiple-input multiple-output (MIMO) communication system combined with the orthogonal frequency division multiplexing (OFDM) modulation technique can achieve reliable
high data rate transmission over broadband wireless channels. Channel state information for both single-input single-output (SISO) and MIMO systems based on pilot aided arrangement is
investigated in this paper. The estimation of channel at pilot frequencies with conventional Least Square (LS) and Minimum Mean Square (MMSE) estimation algorithms is carried out
through Matlab simulation. The performance of MIMO OFDM and SISO OFDM are evaluated on the basis of Bit Error Rate (BER) and Mean Square Error (MSE) level. Platform: |
Size: 729088 |
Author:loihuynh |
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Description: 针对OFDM系统，分成链路级仿真和系统级仿真两个部分。为了降低系统级仿真的复杂度，采用链路级仿真的部分结果。-It contains mainly two parts, i.e. link-level simulator and system-level simulator.
Link-level simulator focus on a single-cell single-user scenario, where signal is transmitted from tx, and estimated at rx. Comparing the difference in tx/rx signal, the error rate can be found out. The output of the link-level simulator is the BLER/BER vs. SNR mapping table, that can be used for the system-level simulation.
System-level simulator focus on a multi-cell multi-user scenario. For the sake of simplicity, it takes the mapping table aquired in the link-level simulation, measure the actural SNR, and finds the corresponding error rate.
Link-level simulator support SISO, 1 by x MRC, 2 by 1 STBC/SFBC, 2 by 2 Alamouti, x by 1 Antenna selection, x by y antenna selection.
System-level simulator, currently support only SISO and 1 by 2 MRC.
To start with, go into the folder sys_link_simu, and excute the following commond from matlab:
sys_link_simu_func(a,b)
where a is the link ada Platform: |
Size: 286720 |
Author:王刚名 |
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Search - siso ofdm simulation matlab