Universal Software Radio Peripheral (USRP) by Highmesh: A Complete Guide

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Introduction to USRP

The Universal Software Radio Peripheral (USRP) by Highmesh is a cutting-edge, versatile platform designed for the development and implementation of software-defined radio (SDR) applications. Our USRP series provides researchers, engineers, and developers with reliable and scalable tools to innovate across industries such as telecommunications, defense, academia, and IoT. By offering flexible hardware and software solutions, Highmesh empowers users to prototype, test, and deploy advanced wireless systems with ease.

Why Choose Highmesh’s USRP?

1. Comprehensive Product Portfolio

Highmesh offers a diverse range of USRP models, each tailored for specific applications and industries:

USRP X Series: Designed for high-performance wireless research, featuring advanced FPGA processing and wideband capabilities.

USRP N Series: Network-ready SDR optimized for distributed systems with high-speed Ethernet connectivity.

USRP B Series: Cost-effective and flexible solutions for academic and entry-level SDR development.

USRP E Series: Embedded SDR for standalone applications in remote or rugged environments.

USRP C Series: Compact and lightweight SDR ideal for portable and space-constrained applications.

A99 Series: Custom-built SDR for specialized and niche industry needs.

2. Broad Frequency Range

Our USRP platforms support a wide frequency range, covering HF, VHF, UHF, and beyond into millimeter-wave frequencies. This flexibility makes them suitable for diverse wireless communication standards, including 5G, Wi-Fi, LTE, and satellite communication.

3. Scalable and Modular Design

Highmesh’s modular architecture allows users to customize RF front ends and other components, ensuring compatibility with evolving standards and technologies. This scalability reduces the need for frequent hardware upgrades, protecting your investment.

4. Software Integration

Our USRP products are fully compatible with leading SDR frameworks like GNU Radio, LabVIEW, and MATLAB. Open-source drivers and APIs enable seamless integration with existing development environments, accelerating time-to-market for new solutions.

Applications of Highmesh’s USRP

1. Academic and Research Institutions

Key Uses:

Wireless protocol experimentation.

Spectrum sensing and cognitive radio research.

Development of new modulation and coding schemes.

Pain Points Addressed:

Highmesh provides affordable models with robust documentation, ensuring ease of use for students and researchers.

2. Telecommunications and 5G Development

Key Uses:

5G and 6G prototyping.

Massive MIMO testing.

Network performance evaluation and optimization.

Pain Points Addressed:

Highmesh delivers ultra-low-latency and high-bandwidth solutions, meeting the demands of next-gen wireless standards.

3. Aerospace and Defense

Key Uses:

Secure communication systems.

Signal intelligence (SIGINT) and electronic warfare (EW).

Navigation and radar systems.

Pain Points Addressed:

Highmesh offers ruggedized USRP options with enhanced reliability for harsh environments.

4. IoT and Edge Computing

Key Uses:

Development of IoT gateways.

Testing and deploying edge computing networks.

Pain Points Addressed:

Highmesh’s energy-efficient and compact designs cater to remote deployments and battery-powered devices.

Key Considerations for Procurement Teams

1. Performance vs. Cost

Highmesh strikes the perfect balance between performance and affordability, offering solutions for both entry-level and high-performance needs. Buyers can choose from a range of models to match their technical and budgetary requirements.

2. Technical Support

The company is the world’s best HM USRP B Series supplier. We are your one-stop shop for all needs. Our staff are highly-specialized and will help you find the product you need.

We understand that post-purchase support is a critical factor for procurement teams. Highmesh provides:

Comprehensive documentation, including user manuals and tutorials.

Dedicated customer support for troubleshooting and system integration.

Firmware updates and continuous software support.

3. Lead Times and Availability

Procurement delays can disrupt project timelines. Highmesh maintains a robust supply chain and inventory management system, ensuring prompt delivery of products to global customers.

Additional reading:
What Are the Advantages of below knee foam cover？
How to Choose INR 21700 Cells?
Selecting the Best Fill Media and Drift Eliminators for Your Cooling ...

For more information, please visit HM USRP N Series.

4. Customization Options

Procurement teams often face unique challenges requiring tailored solutions. Highmesh offers customization services for RF performance, bandwidth, and form factors to meet specific application needs.

5. Future-Proof Investments

Highmesh USRP platforms are built to support emerging standards, ensuring that your investment remains relevant as wireless technologies evolve. This adaptability minimizes the total cost of ownership.

Highmesh Solution

High Initial Costs: Affordable entry-level options and scalable architecture to fit diverse budgets.

Complex System Integration: Open-source support, robust APIs, and expert technical assistance simplify integration.

Limited Product Availability: A reliable supply chain ensures minimal lead times and on-time delivery.

Post-Sales Support Concerns: Comprehensive technical support and long-term maintenance for peace of mind.

Why Highmesh?

Expertise: Years of experience in developing industry-leading SDR solutions.

Global Reach: Supporting customers across academia, industry, and government sectors worldwide.

Commitment to Quality: Each USRP is rigorously tested to meet the highest performance and reliability standards.

Customer-Centric Approach: Dedicated to addressing your unique needs through customization and top-tier support.

Vivenis Single-Hole Faucet 110 with Pop-Up Drain, 1.2 GPM

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On 11/30/ 02:08 PM, Müller, Marcus (CEL) wrote:
[ snip ]

> You can do that (obviously, it works!), but I'd recommend you just use
> a channelizer with N=125 instead of 117! Your channel map can be used
> to ignore the channels you don't need (which seem to be the 4 upper and
> lower "edge" ones), and by only increasing the workload of the PFB ever
> so slightly (probably even actually decreasing it, because an 125=5³-
> FFT is likely to be much more efficient than an 117=3²·13-FFT), you get
> rid of the rational resampler, which not only brings more CPU load, but
> also a resampling filter response that might have ripple and aliases.

Thanks for that suggestion, Marcus! I have the resampler version
running right now but will change to use the channel count idea instead.

John

_______________________________________________
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Hi Marcus --

First, thanks for catching the typo in the channel map. There was no
plan to skip any channels; the goal is to get each channel in frequency
order (out0 = 540 kHz; out116 = kHz).

I did an experiment using a signal generator feeding the Red Pitaya
receiver and testing various channels. I started at the center channel,
kHz, and found there was zero offset from nominal. I then went 1,
2, and 3 channels both lower and higher and came up with this map:

+2.05 kHz
+1.37 kHz
+0.68 kHz
0.00 kHz
-0.68 kHz
-1.37 kHz
-2.05 kHz

Now, the sample rate coming out of the channelizer (hardware sample rate
of 1.25 msps divided by 117) is ~10.683 ksps. Gee, that 683 is pretty
close to the per-channel offset.

I didn't test further, but I strongly suspect this offset of ~680
Hz/channel continues in both directions, so that the signal has moved
far from the expected point as you get further away.

So, I think this tells me that the sample rate going into the PFB,
divided by the number of channels, needs to match the channel spacing.
That means a rational resampler going into the PFB to change 1.25 msps
to 1.17 msps.

I don't think I've ever read anything before that the sample_in rate has
to equal (channel_num x channel_spacing). It makes perfect sense when
you think about it, though. Your reference to the "channel raster" was
enough to make the light bulb turn on for me, and thanks very much for that!

Now to test with the resampler... Thanks much for helping me work
through this!

John
----
On 11/29/ 01:20 PM, Müller, Marcus (CEL) wrote:
> Hi John,
>
> given the fact that the frequency shifting of the individual sub-
> filters is actually done via a DFT implemented by an FFT, and that
> should have negligible phase accumulation error for benign FFT length
> (i.e. channel numbers, let's say <1e6), hm.
>
> First gut feeling, and easiest to check:
>
>> The output channels seem to have an offset in the range > of 400 to
> 700 Hz versus the unchannelized input.
>
> Make double sure that (sampling rate going into the channelizer) / 117
> is actually exactly the raster you want.
>
> If I interpret your file correctly, there's 1.25 MHz going into the
> channelizer, so channel raster is / 117 kHz = 10.684 kHz. Hope
> that's right!
>
> What I could imagine are artifacts due to the non-perfect filter phase
> linearity; but that would actually be a pretty intense speculation;
> unless we're leaving the areas where our floating point numbers are
> accurate enough, there shouldn't be non-linear (i.e. frequency-
> shifting) behaviour.
>
> I just threw together this:
>
> from gnuradio.filter import firdes
>
> file_sample_rate = 2.5e6
> decimation = 2
>
> pfb_taps = firdes.low_pass(2.0, file_sample_rate/decimation,,,
> firdes.WIN_HAMMING, 6.76)
>
> (pretty much lifted straight from your GRC)
>
> Inspecting pfb_taps yielded a length of 603 taps, which we'll "evenly
> as possible" have to distribute across the channels (117 of which
> exist, as your channelizer map has length 116, but is missing the 56).
>
> You could build a simple "unit test": Use a Vector source that pushes
>
> [1 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 4 … 0 0 0 0 0 0 0 117
> 0 0 0 0 0 0 0 ]
>
> through a length=117*8 IFFT, and push the result (after a vector-to-
> stream) through your channelizer. You should see single tones in all
> your channels. (The different amplitudes might help telling them
> apart). Do they end up in the center of your bins?
>
> Best regards,
> Marcus
>
> On Wed, -11-29 at 10:34 -, John Ackermann N8UR wrote:
>> I'm building a ridiculous flowgraph that breaks the AM broadcast band
>> (540 - kHz in the U.S.) into 117 10 kHz wide channels and measures
>> the energy in each. The thing is working but I see a frequency offset
>> in the output channels that is not present in the data before
>> channelizing. The output channels seem to have an offset in the range
>> of 400 to 700 Hz versus the unchannelized input.
>>
>> The signal chain is:
>>
>> 2.5 msps recording centered at 1.4e6 Hz -> xlating filter, decimation 2,
>> output centered at 1.12e6 -> PFB channelizer with 117 channels, yielding
>> a channel rate of 10,683....... samples per second.
>>
>> Looking at the spectrum at the output of the xlating filter, the carrier
>> frequencies are correct. Looking at the output of a channel, the
>> carriers are offset by several hundred Hertz, always high. (Given the
>> absolute frequency is in the 1 MHz range, these offsets are parts in
>> 1e3, a pretty large amount.)
>>
>> I wonder if the large number of PFB channels is causing a rounding error
>> that results in these frequency offsets. Or is there something else
>> going on?
>>
>> I can probably fudge the xlating filter frequency a bit to move the
>> carriers closer to nominal, but would like to understand what's happening.
>>
>> I'm attaching the (absurdly huge) .grc file. The canvas is pixels
>> tall, so the flowgraph is smaller than the screenshot. :-)
>> _______________________________________________
>> Discuss-gnuradio mailing list
>>
>> https://lists.gnu.org/mailman/listinfo/discuss-gnuradio

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