CS代考 COMP4336/9336 Mobile Data Networking Lab 9: Gesture Channel State Informati – cscodehelp代写
Objectives
COMP4336/9336 Mobile Data Networking Lab 9: Gesture Channel State Information
• To observe impact of hand gestures on Wi-Fi CSI patterns
Prerequisites
Copyright By cscodehelp代写 加微信 cscodehelp
• Access to a laptop
• Access to MATLAB (All UNSW students have free access to MATLAB)
Your Tasks
CSI extraction [1 mark]
In this set of experiments, two DAT files from different gestures will be given, legswing.dat and swipe.dat.
You are required to use MATLAB with the tools of Widar3.0, extract the Channel State Information(CSI). Please read the Widar 3.0 paper at: http://tns.thss.tsinghua.edu.cn/widar3.0/data/MobiSys19_Widar3.0_paper.pdf
1. Install MATLAB R2021a and Signal Processing Toolbox TM (UNSW provides free license to all students). Available from the following URL: https://www.mathworks.com/help/releases/R2021a/signal/index.html
2. Download the gesture dat file and Widar 3.0 for MATLAB, follow the README file to setup your environment. Download link: https://bit.ly/3xY5NuO
3. Use the script dat_2_csi_mat.m to transform the DAT files into .mat files. Then you will be able to read it with MATLAB or Python.
Analyze differences for the gestures [3 marks]
You are required to plot the graphs showing the raw CSI amplitude, phase against time/packet-index. Analyze the difference of amplitude, phase from the graphs you have plotted for different gestures.
Please observe how many subcarriers do we have in the CSI data, and select one to plot the amplitude and phase graph. You can calculate and plot the amplitude as well as the phase with the python3 code fraction:
# /usr/bin/env python3
import h5py
import matplotlib.pyplot as plt
csi_workspace = h5py.File(“pushpull_csi_.mat”,’r’) # read the .mat file in task1 csi = csi_workspace[‘csi_trace’]
# load & plot the amplitude of subcarrier 0
subcarrier = 0
amplitude = np.abs(csi[‘real’][subcarrier,:]+csi[‘imag’][subcarrier,:]*1j)
# phase = np.angle(csi[‘real’][ subcarrier,:]+csi[‘imag’][ subcarrier,:]*1j)
_, axs = plt.subplots(nrows=1, ncols=1, figsize=(11, 5))
ax_1 = axs.plot(amplitude.T)
plt.show()
Sample outputs:
Amplitude of Swipe Phase of Swipe
What to submit?
1. Submit a ZIP file containing .MAT files for both gestures. [1 mark] 2. Submit a PDF report containing the following:
a. Plots of CSI Amplitude, Phases graphs [2 mark]
b. Your observations [1 mark]
Penalty at the rate of 5% for each day late will be strictly enforced for all lab submissions. All submissions will be subject to strict UNSW plagiarism rules.
End of Lab 9 – Hope you enjoyed this lab
程序代写 CS代考 加微信: cscodehelp QQ: 2235208643 Email: kyit630461@163.com
