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	<title>Comments on: MIMO with ML equalization</title>
	<atom:link href="http://www.dsplog.com/2008/12/14/mimo-ml-equalization/feed/" rel="self" type="application/rss+xml" />
	<link>http://www.dsplog.com/2008/12/14/mimo-ml-equalization/</link>
	<description>Signal Processing for Communication</description>
	<lastBuildDate>Thu, 04 Mar 2010 16:31:39 +0530</lastBuildDate>
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		<item>
		<title>By: eng_dina</title>
		<link>http://www.dsplog.com/2008/12/14/mimo-ml-equalization/#comment-19676</link>
		<dc:creator>eng_dina</dc:creator>
		<pubDate>Sat, 06 Feb 2010 00:43:33 +0000</pubDate>
		<guid isPermaLink="false">http://www.dsplog.com/?p=273#comment-19676</guid>
		<description>please reply my massege it&#039;s really important
thanks</description>
		<content:encoded><![CDATA[<p>please reply my massege it&#8217;s really important<br />
thanks</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: eng_dina</title>
		<link>http://www.dsplog.com/2008/12/14/mimo-ml-equalization/#comment-18760</link>
		<dc:creator>eng_dina</dc:creator>
		<pubDate>Sat, 30 Jan 2010 17:58:12 +0000</pubDate>
		<guid isPermaLink="false">http://www.dsplog.com/?p=273#comment-18760</guid>
		<description>Idon’t try to simulte cfo for mimo system only but for mimo ofdm I propose a new scheme that targets MMIO OFDM systems which have unsynchronized oscillators such that CFO of individual paths have to be estimated separately. This scheme may also apply to OFDM systems with multi-user access. The new method, which is similar to Moose’s method, estimates the CFO by measuring the carrier phase difference between 2 identical successive training sequences embedded in the preambles. In order to make CFO estimates be more time efficient,I allow 2 transmitter antennas transmit their training sequence concurrently in every time period, except the first and the last period. I use Frank-Zadoff code with different phase shifts in the training sequences in different antennas. Due to the good correlation property of Frank-Zadoff code, it helps reduce the interference caused by the concurrent transmissions from other antennas.
cfo for mimo only but for mimo ofdm system
please helpppppppppppppppppppppppp</description>
		<content:encoded><![CDATA[<p>Idon’t try to simulte cfo for mimo system only but for mimo ofdm I propose a new scheme that targets MMIO OFDM systems which have unsynchronized oscillators such that CFO of individual paths have to be estimated separately. This scheme may also apply to OFDM systems with multi-user access. The new method, which is similar to Moose’s method, estimates the CFO by measuring the carrier phase difference between 2 identical successive training sequences embedded in the preambles. In order to make CFO estimates be more time efficient,I allow 2 transmitter antennas transmit their training sequence concurrently in every time period, except the first and the last period. I use Frank-Zadoff code with different phase shifts in the training sequences in different antennas. Due to the good correlation property of Frank-Zadoff code, it helps reduce the interference caused by the concurrent transmissions from other antennas.<br />
cfo for mimo only but for mimo ofdm system<br />
please helpppppppppppppppppppppppp</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: eng_dina</title>
		<link>http://www.dsplog.com/2008/12/14/mimo-ml-equalization/#comment-18680</link>
		<dc:creator>eng_dina</dc:creator>
		<pubDate>Fri, 29 Jan 2010 10:33:31 +0000</pubDate>
		<guid isPermaLink="false">http://www.dsplog.com/?p=273#comment-18680</guid>
		<description>Idon’t try to simulte cfo for mimo only but for mimo ofdm system After examining some synchronization I propose a new scheme that targets MMIO OFDM systems which have unsynchronized oscillators such that CFO of individual paths have to be estimated separately. This scheme may also apply to OFDM systems with multi-user access. The new method, which is similar to Moose’s method, estimates the CFO by measuring the carrier phase difference between 2 identical successive training sequences embedded in the preambles. In order to make CFO estimates be more time efficient,I allow 2 transmitter antennas transmit their training sequence concurrently in every time period, except the first and the last period. I use Frank-Zadoff code with different phase shifts in the training sequences in different antennas. Due to the good correlation property of Frank-Zadoff code, it helps reduce the interference caused by the concurrent transmissions from other antennas.
please helpppppppppppppppppppppppp</description>
		<content:encoded><![CDATA[<p>Idon’t try to simulte cfo for mimo only but for mimo ofdm system After examining some synchronization I propose a new scheme that targets MMIO OFDM systems which have unsynchronized oscillators such that CFO of individual paths have to be estimated separately. This scheme may also apply to OFDM systems with multi-user access. The new method, which is similar to Moose’s method, estimates the CFO by measuring the carrier phase difference between 2 identical successive training sequences embedded in the preambles. In order to make CFO estimates be more time efficient,I allow 2 transmitter antennas transmit their training sequence concurrently in every time period, except the first and the last period. I use Frank-Zadoff code with different phase shifts in the training sequences in different antennas. Due to the good correlation property of Frank-Zadoff code, it helps reduce the interference caused by the concurrent transmissions from other antennas.<br />
please helpppppppppppppppppppppppp</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: eng_dina</title>
		<link>http://www.dsplog.com/2008/12/14/mimo-ml-equalization/#comment-18642</link>
		<dc:creator>eng_dina</dc:creator>
		<pubDate>Thu, 28 Jan 2010 18:29:11 +0000</pubDate>
		<guid isPermaLink="false">http://www.dsplog.com/?p=273#comment-18642</guid>
		<description>Idon’t try to simulte After examining some synchronization I propose a new scheme that targets MMIO OFDM systems which have unsynchronized oscillators such that CFO of individual paths have to be estimated separately. This scheme may also apply to OFDM systems with multi-user access. The new method, which is similar to Moose’s method, estimates the CFO by measuring the carrier phase difference between 2 identical successive training sequences embedded in the preambles. In order to make CFO estimates be more time efficient,I allow 2 transmitter antennas transmit their training sequence concurrently in every time period, except the first and the last period. I use Frank-Zadoff code with different phase shifts in the training sequences in different antennas. Due to the good correlation property of Frank-Zadoff code, it helps reduce the interference caused by the concurrent transmissions from other antennas.
cfo for mimo only but for mimo ofdm system
please helpppppppppppppppppppppppp</description>
		<content:encoded><![CDATA[<p>Idon’t try to simulte After examining some synchronization I propose a new scheme that targets MMIO OFDM systems which have unsynchronized oscillators such that CFO of individual paths have to be estimated separately. This scheme may also apply to OFDM systems with multi-user access. The new method, which is similar to Moose’s method, estimates the CFO by measuring the carrier phase difference between 2 identical successive training sequences embedded in the preambles. In order to make CFO estimates be more time efficient,I allow 2 transmitter antennas transmit their training sequence concurrently in every time period, except the first and the last period. I use Frank-Zadoff code with different phase shifts in the training sequences in different antennas. Due to the good correlation property of Frank-Zadoff code, it helps reduce the interference caused by the concurrent transmissions from other antennas.<br />
cfo for mimo only but for mimo ofdm system<br />
please helpppppppppppppppppppppppp</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Umashankar Dewangan</title>
		<link>http://www.dsplog.com/2008/12/14/mimo-ml-equalization/#comment-17795</link>
		<dc:creator>Umashankar Dewangan</dc:creator>
		<pubDate>Mon, 04 Jan 2010 16:52:31 +0000</pubDate>
		<guid isPermaLink="false">http://www.dsplog.com/?p=273#comment-17795</guid>
		<description>Hello sir,
i am new to simulation. i want to simulate uplink multiuser MIMO-OFDM detection. i have to do this for LS, MMSE, SIC, V-BLAST and ML. BER comparision and complexity comparision has to be done.
Users have only single antenna and BS has multiple antenna.
my system model is as follows- first generate data then mapping (i m using BPSK ) then serial to parallel converter then ifft (i m taking size-128) then cp (i m taking 10% of ifft size) then parallel to serial then transmit it. i have doubt in all the bracket values why and what value should we choose?
I have to transmit this multiple user data through Rayleigh frequency selective fading channel. how to generate this channel?
and at the BS should we use OFDM demodulation just before MUD block at each receive antenna?
Sir please help me?and Kindly give me steps and approach for simulation?</description>
		<content:encoded><![CDATA[<p>Hello sir,<br />
i am new to simulation. i want to simulate uplink multiuser MIMO-OFDM detection. i have to do this for LS, MMSE, SIC, V-BLAST and ML. BER comparision and complexity comparision has to be done.<br />
Users have only single antenna and BS has multiple antenna.<br />
my system model is as follows- first generate data then mapping (i m using BPSK ) then serial to parallel converter then ifft (i m taking size-128) then cp (i m taking 10% of ifft size) then parallel to serial then transmit it. i have doubt in all the bracket values why and what value should we choose?<br />
I have to transmit this multiple user data through Rayleigh frequency selective fading channel. how to generate this channel?<br />
and at the BS should we use OFDM demodulation just before MUD block at each receive antenna?<br />
Sir please help me?and Kindly give me steps and approach for simulation?</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Krishna Sankar</title>
		<link>http://www.dsplog.com/2008/12/14/mimo-ml-equalization/#comment-16692</link>
		<dc:creator>Krishna Sankar</dc:creator>
		<pubDate>Sun, 06 Dec 2009 23:58:45 +0000</pubDate>
		<guid isPermaLink="false">http://www.dsplog.com/?p=273#comment-16692</guid>
		<description>@doris: Based on which variable minimized the error, am picking the data bits accordingly.</description>
		<content:encoded><![CDATA[<p>@doris: Based on which variable minimized the error, am picking the data bits accordingly.</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Krishna Sankar</title>
		<link>http://www.dsplog.com/2008/12/14/mimo-ml-equalization/#comment-16625</link>
		<dc:creator>Krishna Sankar</dc:creator>
		<pubDate>Sun, 06 Dec 2009 10:54:24 +0000</pubDate>
		<guid isPermaLink="false">http://www.dsplog.com/?p=273#comment-16625</guid>
		<description>@raj: You can try to pick up 
a) &lt;a href=&quot;http://www.amazon.com/gp/redirect.html?ie=UTF8&amp;location=http%3A%2F%2Fwww.amazon.com%2FFundamentals-Wireless-Communication-David-Tse%2Fdp%2F0521845270&amp;tag=dl04-20&amp;linkCode=ur2&amp;camp=1789&amp;creative=9325&quot; rel=&quot;nofollow&quot;&gt;Fundamentals of Wireless Communication, David Tse, Pramod Viswanath&lt;/a&gt;
b) &lt;a href=&quot;http://www.amazon.com/gp/redirect.html?ie=UTF8&amp;location=http%3A%2F%2Fwww.amazon.com%2FDigital-Communication-John-R-Barry%2Fdp%2F0792375483&amp;tag=dl04-20&amp;linkCode=ur2&amp;camp=1789&amp;creative=9325&quot; rel=&quot;nofollow&quot;&gt;Digital Communication: Third Edition, by John R. Barry, Edward A. Lee, David G. Messerschmitt&lt;/a&gt;</description>
		<content:encoded><![CDATA[<p>@raj: You can try to pick up<br />
a) <a href="http://www.amazon.com/gp/redirect.html?ie=UTF8&amp;location=http%3A%2F%2Fwww.amazon.com%2FFundamentals-Wireless-Communication-David-Tse%2Fdp%2F0521845270&amp;tag=dl04-20&amp;linkCode=ur2&amp;camp=1789&amp;creative=9325" rel="nofollow">Fundamentals of Wireless Communication, David Tse, Pramod Viswanath</a><br />
b) <a href="http://www.amazon.com/gp/redirect.html?ie=UTF8&amp;location=http%3A%2F%2Fwww.amazon.com%2FDigital-Communication-John-R-Barry%2Fdp%2F0792375483&amp;tag=dl04-20&amp;linkCode=ur2&amp;camp=1789&amp;creative=9325" rel="nofollow">Digital Communication: Third Edition, by John R. Barry, Edward A. Lee, David G. Messerschmitt</a></p>
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