5. PlutoSDR Basics¶
In this chapter we learn how to use the Python API for the PlutoSDR.
Setting up VM¶
While the Python code provided in this textbook should work under Windows, Mac, and Linux, the install instructions below are specific to Ubuntu 18, so if you are having trouble getting the software set up using Analog Device’s instructions on your OS, I would recommend just installing an Ubuntu 18 VM and trying the instructions below.
- Install VirtualBox - https://www.virtualbox.org/wiki/Downloads, then open it
- Create new VM. For memory size, I recommend 50% of your computer’s RAM
- Create virtual hard disk, choose VDI, and dynamically allocate size. 15 GB should be enough, if you want to be really safe you can use more
- Download Ubuntu 18 Desktop .iso- http://releases.ubuntu.com/18.04/
- Start the VM, it will ask you for installation media, choose the Ubuntu 18 desktop .iso file. Choose “install ubuntu”, use default options, it will pop up warning you about the changes you are about to make, hit continue. Choose name/password and then wait for it to finish. After finishing it will restart, but power off the VM after the restart.
- Go into the VM settings (the gear icon)
- Under system > processor > choose at least 3 CPUs. If you have an actual video card then in display > video memory > choose something much higher
- Start up your VM
- I recommend installing VM guest additions- within the VM go to Devices > Insert Guest Additions CD > hit run when a box pops up. Follow instructions. Restart VM. The shared clipboard can be enabled through Devices > Shared Clipboard > Bidirectional
- If running OSX, within OSX, not the VM, in system preferences, enable “kernel extensions”. Then install HoRNDIS (you may need to reboot after).
- If running Windows, install this driver: https://github.com/analogdevicesinc/plutosdr-m2k-drivers-win/releases/download/v0.7/PlutoSDR-M2k-USB-Drivers.exe
- If running Linux you shouldn’t have to do anything special
- Plug Pluto into the host machine over USB, make sure to use middle USB port on Pluto, the other one is power only. It should create a virtual network adapter, i.e. the Pluto appears like a USB ethernet adapter
- On the host machine (not VM), open a terminal or whatever ping tool you want and ping 192.168.2.1. If that doesn’t work stop here, and debug the network interface.
- Within the VM, open a new terminal
- Ping 192.168.2.1. If that doesn’t work stop here and debug. If the ping works then you should be good to go, assuming 192.168.2.1 was actually the Pluto and not some random computer on the network (unlikely but possible). If you want to be 100% sure 192.168.2.1 is your pluto, try doing “ssh firstname.lastname@example.org” pass: analog, and it should log into it.
- Write down the IP address somewhere because you’ll need it when we start using the Pluto in Python
Installing PlutoSDR Driver¶
The terminal commands below should build and install the latest version of:
- libiio, Analog Device’s “cross-platform” library for interfacing hardware
- libad9361-iio, AD9361 is the specific RF chip inside the PlutoSDR
- pyadi-iio, the Pluto’s Python API, this is our end goal, but it depends on the previous two libraries
sudo apt-get install git libxml2 libxml2-dev bison flex libcdk5-dev cmake python3-pip cd ~ git clone https://github.com/analogdevicesinc/libiio.git cd libiio cmake ./ make all -j4 sudo make install sudo ldconfig cd bindings/python/ sudo python3 setup.py.cmakein install cd ~ git clone https://github.com/analogdevicesinc/libad9361-iio.git cd libad9361-iio cmake ./ make -j3 sudo make install cd ~ git clone https://github.com/analogdevicesinc/pyadi-iio.git cd pyadi-iio sudo python3 setup.py install
Testing PlutoSDR Drivers¶
Open a new terminal (in your VM) and type the following commands:
python3 import adi sdr = adi.Pluto('ip:192.168.2.1') # or whatever your Pluto's IP is sdr.sample_rate = int(2.5e6) sdr.rx()
If you get this far without an error then continue with the next steps
Changing Pluto’s IP Address¶
If for some reason the default IP of 192.168.2.1 won’t work because you already have a 192.168.2.0 subnet, or because you want multiple Pluto’s connected at the same time, you can change the IP using these steps:
- Edit the config.txt file on the PlutoSDR mass storage device (i.e. the USB-drive looking thing that shows up after you plug in the Pluto). Enter the new IP you want.
- Eject the mass storage device (don’t unplug the Pluto!), in Ubuntu 18 there’s an eject symbol next to the PlutoSDR device, when looking at the file explorer.
- Give it a few seconds, and then cycle power by unplugging it and plugging it back in. Go back into the config.txt to make sure it stuck.
Note that this procedure is also used to flash a different firmware image onto the Pluto, for more details see https://wiki.analog.com/university/tools/pluto/users/firmware.
“Hack” PlutoSDR to Increase RF Range¶
The PlutoSDR’s ship with a limited center frequency range and sampling rate, but the underlying chip is capable of much higher, and these steps will unlock the ful range. Note that this process is provided by Analog Devices, it is as low risk as you can get, the reason for the limitation has to do with Analog Devices “binning” the AD9364 based on strict performance requirements at the higher frequencies, stuff we don’t really care about as SDR enthusiasts.
Open terminal (either host or VM, doesn’t matter)
Default pass is: analog
You should see the PlutoSDR welcome screen, you have now SSHed into the ARM CPU on the Pluto itself! Type the following commands in:
fw_setenv attr_name compatible fw_setenv attr_val ad9364 reboot
You should now be able to tune up to 6 GHz, down to 70 MHz, and use a sample rate up to 56 MHz! Yay!
Instead of just giving you code to run, I have create multiple exercises where 95% of the code is provided, and the remaining code is fairly straightforward Python. They aren’t meant to be difficult exercises, they are missing just enough code to get you to think.
Exercise 1: Determine Your USB Throughput¶
Let’s try receiving samples from the PlutoSDR, and in the process, see how many samples per second we can push through the USB 2.0 connection.
Your task is to create a Python script that determines the rate samples are actually being received in Python, i.e. count the samples received and keep track of time to figure out the rate. Then, try using different sample_rate’s and buffer sizes to see how it impacts the highest achievable rate.
Note that if you find you are receiving less samples per second than the specified sample_rate, it means you are losing/dropping some fraction of samples, which will likely happen at high sample_rate’s.
The following code will act as a starting point, and provides almost all the code you need to accomplish this task.
import numpy as np import adi import matplotlib.pyplot as plt import time sample_rate = 10e6 # Hz center_freq = 100e6 # Hz sdr = adi.Pluto("ip:192.168.2.1") sdr.sample_rate = int(sample_rate) sdr.rx_rf_bandwidth = int(sample_rate) # filter cutoff, just set it to the same as sample rate sdr.rx_lo = int(center_freq) sdr.rx_buffer_size = 1024 # this is the buffer the Pluto uses to buffer samples samples = sdr.rx() # receive samples off Pluto
In addition, in order to time how long something takes, you can use the following code:
start_time = time.time() # do stuff end_time = time.time() print('seconds elapsed:', end_time - start_time)
My hint is that you’ll need to put the line “samples = sdr.rx()” into a loop, and count how many samples you get each call to sdr.rx(), while keeping track of how much time has elapsed. Second hint- just because you are calculating samples per second, doesn’t mean you have to perform exactly 1 second worth of receiving samples, you can always divide the number of samples you received by the amount of time that passed.
As part of this exercise you will get an idea for the max throughput of USB 2.0, something you can look up online to verify your findings.
As a bonus, try changing the center_freq to see if/how it impacts the rate you can receive samples off the Pluto.
Exercise 2: Create a Spectrogram/Waterfall¶
For this exercise you will create a spectrogram, a.k.a. waterfall, like we learned about at the end of the Frequency Domain chapter. A spectrogram is simply a bunch of FFT’s displayed stacked on top of each other, i.e. it’s an image with one axis representing frequency and the other axis representing time.
In the Frequency Domain chapter we saw the Python code to perform an FFT. For this exercise you can use code snippets from the previous exercise, as well as a little bit of basic python code.
- Try setting sdr.rx_buffer_size to the FFT size so that you always perform 1 FFT for each call to sdr.rx().
- Build a 2d array to hold all the FFT results, each row is 1 FFT. A 2d array filled with zeros can be created with: np.zeros((num_rows, fft_size)). Access row i of the array with: waterfall_2darray[i,:].
- plt.imshow() is a convenient way to display a 2d array, and have it scale the color automatically.
As a stretch goal, make the spectrogram update live.