Selecting a USRP Model - Ettus Research

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Selecting a USRP Model - Ettus Research

Introduction Application Note <strong>Selecting</strong> a <strong>USRP</strong> Device <strong>Ettus</strong> <strong>Research</strong> This guide is provided by <strong>Ettus</strong> <strong>Research</strong> to help users select the most appropriate Universal Software Radio Peripheral (<strong>USRP</strong>) for their specific application. In order to make the selection process as straightforward as possible, a table showing various features is provided as a basis for the selection process. Understanding DSP Fundamentals If you are new to the <strong>USRP</strong> family of products, software defined radio, or digital signal processing in general, it may be useful to perform some simulation of the signals you wish to manipulate before selecting <strong>USRP</strong> hardware. Simulating signals and algorithms in software frameworks such as GNU Radio or LabVIEW will ensure a proper understanding of various concepts, such as Nyquist theorem, ADC/DAC and limitations, for example. Understanding the basics of signal theory and digital signal processing is the first step towards understanding how to make the best use of an appropriate <strong>USRP</strong> model. This link provides access to several resources that may be helpful in understanding the basics. http://gnuradio.org/redmine/projects/gnuradio/wiki/SuggestedReading Common Applications Table 1 shows <strong>USRP</strong>/daughterboard combinations commonly used in various application areas. While Table 1 can serve as a starting point for selecting a <strong>USRP</strong> device, <strong>Ettus</strong> <strong>Research</strong> recommends new users evaluate their application requirements against the specifications of the <strong>USRP</strong> devices. The remaining sections of this document will assist in the selection process. Application Area Common <strong>USRP</strong> <strong>Model</strong> Common Daughterboard PHY/MAC <strong>Research</strong> N200/210 SBX Radar <strong>Research</strong> N200/210 SBX OpenBTS Deployment B100 WBX/SBX Education N200/210 WBX/SBX HF Communications B100 LFRX/LFTX Signals Intelligence N200/210 WBX/SBX Distributed RF Sensors E100/E110 WBX/SBX Mobile Radios E100/E110 WBX/SBX Table 1 - Recommended <strong>USRP</strong> Selection for Various Application Areas

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USRP in Python — PySDR: A Guide to SDR and DSP ...

In this chapter we learn how to use the UHD Python API to control and receive/transmit signals with a USRP which is a series of SDRs made by Ettus Research (now part of NI). We will discuss transmitting and receiving on the USRP in Python, and dive into USRP-specific topics including stream arguments, subdevices, channels, 10 MHz and PPS synchronization.

If you used the standard from-source install, the following command should benchmark the receive rate of your USRP using the Python API. If using 56e6 caused many dropped samples or overruns, try lowering the number. Dropped samples aren&#;t necessarily going to ruin anything, but it&#;s a good way to test the inefficiencies that might come with using a VM or older computer, for example. If using a B 2X0, a fairly modern computer with a USB 3.0 port running properly should manage to do 56 MHz without dropped samples, especially with num_recv_frames set so high.

For more help see Ettus&#; official Building and Installing UHD from source page. Note that there are also methods of installing the drivers that don&#;t require building from source.

For USB type USRPs you&#;ll need to install VM guest additions. Within the VM go to Devices > Insert Guest Additions CD > hit run when a box pops up. Follow the instructions. Restart the VM, then attempt to forward the USRP to the VM, assuming it shows up in the list under Devices > USB. The shared clipboard can be enabled through Devices > Shared Clipboard > Bidirectional.

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 the VM. It will ask you for installation media. Choose the Ubuntu 22 desktop .iso file. Choose &#;install Ubuntu&#;, use default options, and a pop up will warn you about the changes you are about to make. Hit continue. Choose name/password and then wait for the VM to finish initializing. After finishing the VM will restart, but you should power off the VM after the restart.

Create the 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.

While the Python code provided in this textbook should work under Windows, Mac, and Linux, we will only be providing driver/API install instructions specific to Ubuntu 22 (although the instructions below should work on most Debian-based distributions). We will start by creating an Ubuntu 22 VirtualBox VM; feel free to skip the VM portion if you already have your OS ready to go. Alternatively, if you&#;re on Windows 11, Windows Subsystem for Linux (WSL) using Ubuntu 22 tends to run fairly well and supports graphics out-of-the-box.

Receiving samples off a USRP is extremely easy using the built-in convenience function &#;recv_num_samps()&#;, below is Python code that tunes the USRP to 100 MHz, using a sample rate of 1 MHz, and grabs 10,000 samples off the USRP, using a receive gain of 50 dB:

import

uhd

usrp

=

uhd

.

usrp

.

MultiUSRP

()

samples

=

usrp

.

recv_num_samps

(

,

100e6

,

1e6

,

[

0

],

50

)

# units: N, Hz, Hz, list of channel IDs, dB

print

(

samples

[

0

:

10

])

The [0] is telling the USRP to use its first input port, and only receive one channel worth of samples (for a B210 to receive on two channels at once, for example, you could use [0, 1]).

Here&#;s a tip if you are trying to receive at a high rate but are getting overflows (O&#;s are showing up in your console). Instead of usrp = uhd.usrp.MultiUSRP(), use:

usrp

=

uhd

.

usrp

.

MultiUSRP

(

"num_recv_frames="

)

which makes the receive buffer much larger (the default value is 32), helping to reduce overflows. The actual size of the buffer in bytes depends on the USRP and type of connection, but simply setting num_recv_frames to a value much higher than 32 tends to help.

For more serious applications I recommend not using the convenience function recv_num_samps(), because it hides some of the interesting behavior going on under the hood, and there is some set up that happens each call that we might only want to do once at the beginning, e.g., if we want to receive samples indefinitely. The following code has the same functionality as recv_num_samps(), in fact it&#;s almost exactly what gets called when you use the convenience function, but now we have the option to modify the behavior:

import

uhd

import

numpy

as

np

usrp

=

uhd

.

usrp

.

MultiUSRP

()

num_samps

=

# number of samples received

center_freq

=

100e6

# Hz

sample_rate

=

1e6

# Hz

gain

=

50

# dB

usrp

.

set_rx_rate

(

sample_rate

,

0

)

usrp

.

set_rx_freq

(

uhd

.

libpyuhd

.

types

.

tune_request

(

center_freq

),

0

)

usrp

.

set_rx_gain

(

gain

,

0

)

# Set up the stream and receive buffer

st_args

=

uhd

.

usrp

.

StreamArgs

(

"fc32"

,

"sc16"

)

st_args

.

channels

=

[

0

]

metadata

=

uhd

.

types

.

RXMetadata

()

streamer

=

usrp

.

get_rx_stream

(

st_args

)

recv_buffer

=

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np

.

zeros

((

1

,

),

dtype

=

np

.

complex64

)

# Start Stream

stream_cmd

=

uhd

.

types

.

StreamCMD

(

uhd

.

types

.

StreamMode

.

start_cont

)

stream_cmd

.

stream_now

=

True

streamer

.

issue_stream_cmd

(

stream_cmd

)

# Receive Samples

samples

=

np

.

zeros

(

num_samps

,

dtype

=

np

.

complex64

)

for

i

in

range

(

num_samps

//

):

streamer

.

recv

(

recv_buffer

,

metadata

)

samples

[

i

*

:(

i

+

1

)

*

]

=

recv_buffer

[

0

]

# Stop Stream

stream_cmd

=

uhd

.

types

.

StreamCMD

(

uhd

.

types

.

StreamMode

.

stop_cont

)

streamer

.

issue_stream_cmd

(

stream_cmd

)

print

(

len

(

samples

))

print

(

samples

[

0

:

10

])

With num_samps set to 10,000 and the recv_buffer set to , the for loop will run 10 times, i.e., there will be 10 calls to streamer.recv. Note that we hard-coded recv_buffer to but you can find the maximum allowed value using streamer.get_max_num_samps(), which is often around -something. Also note that recv_buffer must be 2d because the same API is used when receiving multiple channels at once, but in our case we just received one channel, so recv_buffer[0] gave us the 1D array of samples that we wanted. You don&#;t need to understand too much about how the stream starts/stops for now, but know that there are other options besides &#;continuous&#; mode, such as receiving a specific number of samples and having the stream stop automatically. Although we don&#;t process metadata in this example code, it contains any errors that occur, among other things, which you can check by looking at metadata.error_code at each iteration of the loop, if desired (errors tend to also show up in the console itself, as a result of UHD, so don&#;t feel like you have to check for them within your Python code).

Receive Gain¶

The following list shows the gain range of the different USRPs, they all go from 0 dB to the number specified below. Note that this is not dBm, it&#;s essentially dBm combined with some unknown offset because these are not calibrated devices.

  • B200/B210/B200-mini: 76 dB

  • X310/N210 with WBX/SBX/UBX: 31.5 dB

  • X310 with TwinRX: 93 dB

  • E310/E312: 76 dB

  • N320/N321: 60 dB

You can also use the command uhd_usrp_probe in a terminal and in the RX Frontend section it will mention the gain range.

When specifying the gain, you can use the normal set_rx_gain() function which takes in the gain value in dB, but you can also use set_normalized_rx_gain() which takes in a value from 0 to 1 and automatically converts it to the range of the USRP you&#;re using. This is convenient when making an app that supports different models of USRP. The downside of using normalized gain is that you no longer have your units in dB, so if you want to increase your gain by 10 dB, for example, you now have to calculate the amount.

Automatic Gain Control¶

Some USRPs, including the B200 and E310 series, support automatic gain control (AGC) which will automatically adjust the receive gain in response to the received signal level, in an attempt to best &#;fill&#; the ADC&#;s bits. AGC can be turned on using:

usrp

.

set_rx_agc

(

True

,

0

)

# 0 for channel 0, i.e. the first channel of the USRP

If you have a USRP that does not implement an AGC, an exception will be thrown when running the line above. With AGC on, setting the gain won&#;t do anything.

Stream Arguments¶

In the full example above you&#;ll see the line st_args = uhd.usrp.StreamArgs("fc32", "sc16"). The first argument is the CPU data format, which is the data type of the samples once they are on your host computer. UHD supports the following CPU data types when using the Python API:

Stream Arg

Numpy Data Type

Description

fc64

np.complex128

Complex-valued double-precision data

fc32

np.complex64

Complex-valued single-precision data

You might see other options in documentation for the UHD C++ API, but these were never implemented within the Python API, at least at the time of this writing.

The second argument is the &#;over-the-wire&#; data format, i.e. the data type as the samples are sent over USB/Ethernet/SFP to the host. For the Python API, the options are: &#;sc16&#;, &#;sc12&#;, and &#;sc8&#;, with the 12 bit option only supported by certain USRPs. This choice is important because the connection between the USRP and host computer is often the bottleneck, so by switching from 16 bits to 8 bits you might achieve a higher rate. Also remember that many USRPs have ADCs limited to 12 or 14 bits, using &#;sc16&#; doesn&#;t mean the ADC is 16 bits.

For the channel portion of the st_args, see the Subdevice and Channels subsection below.

Contact us to discuss your requirements of USRP N Series. Our experienced sales team can help you identify the options that best suit your needs.

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