Product Specification
Product Brief: DWM1001C
Description of Change: Decawave module DWM1001C uses the nRF52832-CIAA chip. A new revision of this IC has been released by Nordic which includes fixes for certain anomalies reported in nRF52832 Rev 1. For more information, refer to http://infocenter.nordicsemi.com/pdf/in_105_v1.0.pdf
RF Modules DWM1001C UWB XCVR Module (FCC comp)
Manufacturer: Qorvo
Product link: https://www.qorvo.com/products/p/DWM1001C#documents
Task 1: Setup the DWM1001C devices using node type Anchors, Tag's and Listen the information through Listener module from external PC, measure the position and analysis the data.
a) Configure the DWM1001C devices using Mobile Application DRTLS_Manager_R2.apk
b) Take at least 6 DWM1001C devices. Set 4 anchors, 1 tag and 1 anchors with Passive mode.
c) Download the Putty Software according to your PC system configuration.
d) Open the Putty, select the Connection type Serial and add the Serial line COM7 (here UART port could be different for your PC. Go to Device Manager > Ports) and Speed 112500 8N1 and then click Open.
e) You will see a Terminal. Click your ENTER button twice. Then write the command les and enter.
Linux user:
c) Install minicom. sudo apt-get install minicom.
d) Then open a New Terminal type minicom -D /dev/ttyACM0 -b 115200. Here ACM0 number will depend on your USB/UART port. OR you can use the script using python3 terminal_serial_data.py
e) Click your ENTER button twice. Then write the command les and enter.
Now you should see the distance of the Tag device. You can move it around and analysis the distance.
At this stage we can see the data, now time to visualize the data and analysis data. Here is Python Algorithm to do this job.
- First Download the full Repository and extract it in to your PC.
- Download the Visual Studio Code Software, Python and VS Code Python extension.
- Navigate the repository folder, you will find a file called
3D_scatter_chart_analysis.py. Open the file using the Visual Studio Code Software. Go to the Terminal option and click on a New Terminal option. Write the commandpy -m pip install matplotlib. - Now Run the code.
Here is the Function to extract X, Y, and Z coordinates from raw data
def extract_coordinates(data):
pattern = r"C337\[(\d*\.\d+),(\d*\.\d+),(\-?\d*\.\d+)"
coordinates = re.findall(pattern, data)
return [(float(x), float(y), float(z)) for x, y, z in coordinates]
Our Raw data string for the tag that we got through listener device. You can copy paste your data here from the Putty terminal
raw_data = """
[000969.170 INF] loc_data: 1
0) C337[0.46,0.50,0.00,56,x0D]
[000970.170 INF] loc_data: 1
0) C337[0.80,0.38,0.18,56,x0D]
[000971.170 INF] loc_data: 1
0) C337[0.02,0.10,0.00,56,x0D]
[000972.170 INF] loc_data: 1
0) C337[0.30,0.70,0.08,56,x0D]
[000973.170 INF] loc_data: 1
0) C337[0.99,0.20,0.15,59,x0D]
[000973.170 INF] loc_data: 1
0) C337[0.55,0.30,0.07,59,x0D]
"""
Add your anchors level number and anchors data
anchors = {
"DW8018": (0.00, 0.00, 0.00),
"DW0B01": (0.42, 0.00, 0.00),
"DW06A1": (0.42, 0.28, 0.00),
"DW4108": (0.00, 0.28, 0.00)
}
It will create a 3D scatter plot with the tag's movement highlighted
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
Plot the anchors
for name, (x, y, z) in anchors.items():
ax.scatter(x, y, z, color='red', label=name)
ax.text(x, y, z, name, color='black')
Plot the tag positions with lines connecting them to show movement
tag_x, tag_y, tag_z = zip(*tag_positions)
sc = ax.scatter(tag_x, tag_y, tag_z, c=tag_z, cmap='viridis', label='DWC337', s=50)
ax.plot(tag_x, tag_y, tag_z, color='blue')
Adding labels and title
ax.set_xlabel('X Axis')
ax.set_ylabel('Y Axis')
ax.set_zlabel('Z Axis')
ax.set_title('3D Scatter Plot of UWB Devices with Tag Movement')
It will create a color bar
cbar = plt.colorbar(sc, ax=ax, shrink=0.5, aspect=5)
cbar.set_label('Tag Z Position')
That's all for this task! Thank you.
Exercise: 1
Anchor Placement: Use at least 6 anchors and 1 Tag. Attach the devices in the corner (with wall) of the room, ensuring they are spaced out. Keep the devices at a significant distance from each other.
Data Collection: Use a listener device connected to your PC. Move the Tag to different positions within the setup. Collect data during these movements.
Plotting the 3D Scatter Graph: Utilize Python algorithm to process the collected data. Plot a 3D scatter graph based on the data points.
1. Devices
a) Anchors: 4
b) Tag: 1
c) Bridge: 1 (attached with raspberry pi 3 B)
d) Raspberry Pi 3 B: 1
Process:
Firstly, you need to Flash the DWM1001 using J-Flash Lite and need to select latest “DWM1001_PANS_R2.1.hex” as data file and click on “Program Device”. Page refers (9) from Gateway Quick Deployment Guide.
Secondly, CREATE AN RTLS NETWORK Using the UART shell mode. Page refers (11-14) from Gateway Quick Deployment Guide.
Then you will have to do Bridge node setup and configuration. and Setup the raspberry pi 3 model B. Page refers (15-17) from Gateway Quick Deployment Guide.
Now to check the connection, Connect to the R3B from Windows through SSH connection. Page refers (18) from Gateway Quick Deployment Guide. No need to modified any file inside the raspberry pi in this section.
All done. You have to be in the same network that network connected with raspberry pi as well. Open your Morzila Firefox or Chrome. Visit
https://ip_address_of_raspberrypi
For example: https://192.168.0.63
That's all for this task! Thank you.. For further implement please read the document from page 22-27 from Gateway Quick Deployment Guide.
For DWM1001C device development, to update the firmware and debug the codes, you will need the following software.
- Embedded Studio: https://www.segger.com/downloads/embedded-studio/
- J-Link Software and Documentation pack (Download the latest version): https://www.segger.com/downloads/jlink/
- Arm GNU Toolchain (Download the latest version): https://developer.arm.com/downloads/-/gnu-rm
- MobaXterm Home Edition (For SSH Connection and serial port): https://mobaxterm.mobatek.net/download-home-edition.html
Developed by Md Sajib Pramanic , contributors Matti Kortelainen and Paavo Vartiainen.