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📄 ee359 project_prateek bansal_adaptive loading for mimoofdm.mht

📁 关于mimo-ofdm系统的matlab仿真程序
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Subject: EE359 Project
Date: Fri, 5 Mar 2004 11:36:03 +0800
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<HTML><HEAD><TITLE>EE359 Project</TITLE>
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          <TD><FONT face=3D"Arial, Helvetica, 'Sans Serif'"><BR><BR><BR>
            <CENTER><B><FONT size=3D+3>Adaptive loading for MIMO/OFDM=20
            Systems<BR><BR></FONT></B><FONT size=3D+1>Prateek =
Bansal<BR>Andrew=20
            =
Brzezinski<BR><BR><BR></FONT></CENTER><B>Abstract:</B><BR><BR>
            <P style=3D"TEXT-ALIGN: justify">Orthogonal Frequency =
Division=20
            Multiplexing (OFDM) is a powerful technique employed in=20
            communications systems suffering from frequency selectivity. =

            Combined with multiple antennas at the transmitter and =
receiver as=20
            well as adaptive modulation, OFDM proves to be robust =
against=20
            channel delay spread. Furthermore, it leads to significant =
data=20
            rates with improved bit error performance over links having =
only a=20
            single antenna at both the transmitter and receiver.</P>
            <P style=3D"TEXT-ALIGN: justify">This project demonstrates =
OFDM with=20
            adaptive modulation applied to Multiple-Input =
Multiple-Output (MIMO)=20
            systems. We apply an optimization algorithm to obtain a bit =
and=20
            power allocation for each subcarrier assuming instantaneous =
channel=20
            knowledge. The analysis and simulation is considered in two =
stages.=20
            The first stage involves the application of a variable-rate=20
            variable-power MQAM technique for a Single-Input =
Single-Output=20
            (SISO) OFDM system. This is compared with the performanc eof =
fixed=20
            OFDM transmission where a constant rate is applied to each=20
            subcarrier. The second stage applies adaptive modulation to =
a=20
            general MIMO system by making use of the Singular Value=20
            Decomposition to separate the MIMO channel into parallel=20
            subchannels. For a two-input antenna, two-output antenna =
system, the=20
            performance is compared with the performance of a system =
using=20
            selection diversity at the transmitter and maximal ratio =
combining=20
            at the receiver.</P><BR><BR><BR><B>Links:</B><BR><BR><A=20
            =
href=3D"http://web.mit.edu/brzezin/www/359/initial.html">Project=20
            Introduction and Task Division</A> <BR><A=20
            href=3D"http://web.mit.edu/brzezin/www/359/359.pdf">Project =
Report</A>=20
            <BR><A =
href=3D"http://web.mit.edu/brzezin/www/359/matlab">OFDM=20
            Simulator</A> <BR><BR><BR>
            <CENTER><A =
href=3D"http://www.mit.edu/~brzezin/school.html">BACK TO MY=20
            SCHOOL PAGE</A>=20
      =
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