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Adaptive LF Equalizer Matlab

 
 
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Budget: $ 20-100
Status: Closed for Bidding
Project Creator:
rfmobile  
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Required Skills: Digital, Engineering
Attached Files: (None)
 
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Description
In this project we implement adaptive linear and decision-feedback equalizers through MATLAB.

Simulation setting and parameters
• Every component is simulated in the baseband at the symbol sampling rate (one sample per symbol);
• Use the two channels that are symbol-spaced baseband channels, Channel A and Channel B, on page 551 of the textbook;
• You need to generate 5000 random and complex QPSK symbols for each case in your simulation;
• Pass the symbols through the two channels, respectively. The complex symbols or channels are for passband processing. Their baseband equivalent processing was covered in ECE626 – Communication Systems, with lecture notes still available on Blackboard, see the end of Lecture Notes #1;
• Add pseudo-random white Gaussian noise at the channel output, perform your simulation for per bit SNR of 5 dB and 20 dB; You need to compute the relative scaling between the signal and the noise that these SNRs correspond to;
• Carrier synchronization and symbol synchronization are assumed perfect;
• Implement symbol-spaced adaptive LMS equalizers: (a) Linear ZF; (b) Linear MMSE; (c) MMSE-DFE; The equalizers should be FIR, with 32 taps (for both precursor and post-cursor equalizers in the DFE case);
• Use 1000 initial training symbols, then switch to the decision-directed mode; Choose your step size to compromise between fast convergence speed vs. low residual MSE for each case separately; Your best step size will be different for different cases, which can be achieved by experimenting each case.

Requirements in your simulation and report:
1. If not specified, you need to repeat for all channels, all SNRs, and all equalizers;
2. Make the following plots, use your discretion on how many curves to group into each plot, for best presentation of relevant results:
© Signal constellation without equalization, and signal constellation with equalization (excluding the training symbols) for SNR of 20 dB;
© Learning curves (parameter values vs. time of all 5000 samples) of the first a few (at least 3) equalizer coefficients;
© BER vs. SNR (excluding the training symbols);
3. Write your report, give details of all steps including descriptions, block diagrams, equations, computation, adaptive algorithm description, choices of the step size, etc.; Provide observations, discussions, and conclusions.

Reminder
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 Bids Received (5)   Shortlist (0)   Declined Bids (0)   
Average bid amount:   $499.80   Average delivery time:   15 Day(s)
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Dhyan  
Bangalore, IN
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US$150
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10.00/1010.00/1010.00/1010.00/1010.00/1010.00/1010.00/1010.00/1010.00/1010.00/10
(2 reviews)

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7 day(s)
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Hi I will be able to finish this project for you. please check PM. Regards Dhyan
Bid Time: 06-01-2008 02:07
 
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thunderflash  
beijing, CN
location
US$150
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10.00/1010.00/1010.00/1010.00/1010.00/1010.00/1010.00/1010.00/1010.00/1010.00/10
(2 reviews)

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7 day(s)
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hi, I am interested in the project. do you have relate document about project?
Bid Time: 06-01-2008 19:28
 
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vedenev  
Novosibirsk, RU
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US$2,000
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10.00/1010.00/1010.00/1010.00/1010.00/1010.00/1010.00/1010.00/1010.00/1010.00/10
(2 reviews)

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45 day(s)
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I am physicist and matlab programmer. See link to my experience in Private Message.
Bid Time: 06-01-2008 22:43
 
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usctrojan  
Islamabad, PK
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US$99
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7 day(s)
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Hi Will you provide the name of book or pdf and ECE626 course notes. "page 551 of the textbook" "Their baseband equivalent processing was covered in ECE626 – Communication Systems, with lecture notes still available on Blackboard, see the end of Lecture Notes #1;" If you will provide the above reference than I can do this project by/before next Monday.
Bid Time: 05-31-2008 21:42
 
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riverpan  
Guangzhou, CN
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US$100
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7 day(s)
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Hi, Please PM me and need the textbook information. Regards.
Bid Time: 06-06-2008 18:17
 

 


 
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