Changes between Version 105 and Version 106 of Other/Summer/2015/aSDR1


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Timestamp:
Aug 17, 2015, 1:41:29 AM (9 years ago)
Author:
krajput96
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  • Other/Summer/2015/aSDR1

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     234#!html
     235<br>
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     238<font color="red"> <b> Experiment five: </b></font> More IQ samples and updating SNR vs distance graph
     239<br>
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     241As mentioned above, signal to noise ratio is very important since it relates signal quality as distance between receiver and transmitter increases. Therefore, it is important to gain points at smaller distance increments to certify that accurate data and best fit results are obtained. We obtained signal power and noise amplitude at certain distances that were not accounted before and graphed the data again.
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     243<br>
     244  <tr>
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     246    <img src="http://www.orbit-lab.org/raw-attachment/wiki/Other/Summer/2015/aSDR1/newboard.png" height=320>
     247</td>
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     249<img src="http://www.orbit-lab.org/raw-attachment/wiki/Other/Summer/2015/aSDR1/updatedgraph.png" height=300>
     250</td>
     251</tr>
     252<br>
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     254<td> <br>
     255     <b> Signal-to-Noise ratio versus distance and the fitted curve(red) </b>
     256</td>
     257<td> <center>
     258<b> Power vs. Distance </b>
     259</td> </center>
     260 </tr>
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     265<br>
     266<b> Analysis: </b> The left picture shows the board that we are using to gain our signal power and noise amplitudes during this experiment. We used one transmitter as a control and several receivers. All the "X"s in the grid are transceivers, meaning that they can be used as either a transmitter or receiver. The picture on the right is a result of the experiment. We filled in certain holes by placing the receiver and the transmitter at certain known decisions and sending signals. As seen, the curve is a better fit of the data points but there are still points that are way off the chart and the graph is still scattered. We must have more controls to figure out the problem, so we decided to test all receivers.
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    233274=== Weekly Presentations ===