implemented task4 1-4, documentation needs to be written
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<style>
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newpage{
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display: block;
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page-break-after: always;
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break-after: page;
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}
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</style>
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<h2 style="text-align: center;">
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Lab 5 - Wireless Networking Technologies
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</h2>
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@@ -187,6 +195,8 @@ requiredAntennaGain = max(requiredTxPower - amplifiedTxPower, 0);
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With the 30dB amplifier, the remaining required antenna gain is between 30.99dB and 57.54dB.
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<newpage></newpage>
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### Task3
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#### 3.1
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@@ -209,6 +219,22 @@ The blue line shows the Doppler shift returned by MATLAB's `dopplershift` functi
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In this scenario, Doppler shift can support localization because it constrains the relative radial motion between satellite and ground station. However, Doppler alone is not sufficient for unique localization: the satellite orbit, time, and additional measurements such as range or elevation are still required.
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### Task4
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#### 4.1 - 4.3
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The plot compares the PER over SNR without Doppler pre-compensation, with ideal pre-compensation, and with imperfect pre-compensation errors of 10 Hz, 100 Hz, 1000 Hz, and 5000 Hz.
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Only small differences between the curves are visible. The maximum PER difference between no pre-compensation and ideal pre-compensation is 0.018, which corresponds to about 18 packets out of 1000. Therefore, Doppler pre-compensation has only a small visible effect in this simulation setup.
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A likely reason is that the 802.11 receiver still performs coarse and fine CFO correction using the WiFi preamble. Pilot tracking is disabled as required by the task, but the preamble-based CFO correction is still active. Because of this, even the case without transmitter-side pre-compensation can still decode many packets successfully. The additional benefit of ideal pre-compensation is therefore limited at the simulated 2.4 GHz carrier frequency.
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#### 4.4
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For this compare only the test with ideal pre-compensation and without pre-compensation is run.
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#### Special Thanks
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This lab was solved with contribution of GPT 5.5.
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