Search results for: noise

GhostHunter (Anti-LIF): Using Spiking Neural Networks to Rescue Satellite Signals Drowned in Noise

Thank you to Edwin Temporal for writing in and showing how his proprietary neuromorphic engine, GhostHunter (Anti-LIF), is being used to recover satellite data buried in the noise floor, which typical DSP methods would fail to do.

To recover the signals, Edwin uses trained Spiking Neural Networks (SNN). SNNs are artificial neural networks that draw further inspiration from nature by incorporating the 'spiking' on/off behavior of real neurons. Edwin writes:

My engine has successfully extracted and decoded structured data from high-complexity targets by mimicking biological signal processing:

Technosat: Successful decoding of GFSK modulations under extreme frequency drift and low SNR conditions.

MIT RF-Challenge: Advanced recovery of QPSK signals where traditional digital signal processing (DSP) often fails to maintain synchronization.

These missions are fully documented in the https://temporaledwin58-creator.github.io/ghosthunter-database/, which serves as a public ledger for my signal recovery operations. Furthermore, the underlying Anti-LIF architecture is academically backed by my publication on TechRxiv, proving its efficiency in processing signals buried deep within the noise floor.

Although the engine remains proprietary, I provide comprehensive statistical reports and validation metrics for each mission. I believe your audience would be thrilled to see how Neuromorphic AI (SNN) is solving real-world SIGINT challenges.

In the database, Edwin shows how his Anti-LIF system has recovered CW Morse code telemetry and QPSK data from noisy satellite signals. 

While Edwin's Anti-LIF is proprietary, he is offering proof of concept decoding. If you have a 250MB or less IQ/SigMF/Wav recording of a signal that is buried in the noise floor, you can submit it to him via his website, and he will run Anti-LIF on it for analysis.

Advanced readers interested in AI/neural network techniques for signal recovery can also check out his white paper on TechRxiv, where he shows signal recovery from signals buried in WiFi noise, as well as results from use in ECG and Healthcare applications.

An Example Signal Recovery with the Anti-LIF Spiking Neural Network
An Example Signal Recovery with the Anti-LIF Spiking Neural Network

HackRF Pro Updates: Sensitivity and Noise Figure Measurements + Free Stuff Program

Over on the Great Scott Gadgets blog, Mike Walters, one of the team behind the HackRF Pro has uploaded a post detailing the HackRF Pro's sensitivity and noise figure measurements.

If you are unaware, the HackRF One has long been a core staple in the SDR community. While it is not classed as a high-performance SDR for optimized reception, it is one of the most versatile hacker/experimenter SDR's on the market with a wide frequency range, wide bandwidth and RX and TX capability. The soon-to-be-released HackRF Pro is an upgrade from the original HackRF One.

The measurements by Mike show that the HackRF Pro has significantly lower noise figure across all frequencies compared to the HackRF One. A lower noise figure equates to improved receiver sensitivity. However, although improved, the noise figure is still high enough that you'll probably want to use a low-noise amplifier (LNA) for optimizing reception of weaker signals. 

HackRF Pro vs HackRF One Noise Figure Measurements
HackRF Pro vs HackRF One Noise Figure Measurements

Mike also confirms the noise figure improvements equate to improved real world performance by receiving ADS-B signals from aircraft, with the HackRF Pro showing increased range and doubling the number of messages received.

HackRF Pro (Blue) vs HackRF One (Red) ADS-B Range Comparison
HackRF Pro (Blue) vs HackRF One (Red) ADS-B Range Comparison

Also, in related news from a post a few days earlier, Maggie Way wrote about the Great Scott Gadgets free stuff program. This program allows people in the open source hardware community to submit a request for free hardware from Great Scott Gadgets if they have intentions to use the hardware to spread education, support community projects, or contribute to open source projects or research

The Design and Test of a Filtered Low Noise Amplifier for LRPT Weather Satellite Reception

Recently Salil (aka NUCLEARRAMBO) uploaded a blog post on his website detailing how he designed and tested a low noise amplifier (LNA) with a filter for 130 - 160 MHz, which is useful for improving reception for the Meteor M2 LRPT weather satellite. If you were unaware, an LNA can help improve the reception of an SDR by reducing the noise figure of the system, and by overcoming losses from long coax cable runs. The filter helps reduce the strength of out-of-band signals which if too strong, can desensitize and cause imaging on the RTL-SDR.

In his design, Salil used a PGA-103+ LNA chip which has excellent noise figure and OIP3 specifications. His blog post details how he designed the circuit around the PGA-103+, added a bias tee for power, and how he designed the filter.

In part 2 of his post, he details how he tested the LNA+filter combinations frequency response, input voltage range, noise figure, and bias tee with an RTL-SDR Blog v3 and a NanoVNA V2.

Salil's low noise amplifier
Salil's low noise amplifier

Passive Radar Sensing via Ambient Radio Noise from the Sun and Jupiter

Recently Dr. Sean Peters from the Naval Postgraduate School, in Monterey, CA presented an interesting webinar titled "Leveraging Ambient Radio Noise for Passive Radar Sensing of the Terrestrial and Space Environment".

In passive radar, the radio source is typically an existing powerful terrestrial broadcast station, such as FM, DAB, TV or cellular. However, Dr. Peters makes use of more ambient radio noise sources, such as sun noise, and even noise from Jupiter.

By using Sun noise as the source and an Ettus USRP SDR as the receiver, he's been able to measure the ice sheet thickness at the Store glacier in Greenland. Furthermore he's also been able to utilize sun radio noise and radio noise from Jupiter for passive synthetic aperture radar, with the application being planetary remote sensing.

Traditional active radars transmit a powerful electromagnetic pulse and record the echo’s delay time and power to measure target properties of interest, such as range, velocity, and reflectivity. Such observations are critical for investigating current and evolving conditions in extreme environments (i.e., polar regions and planetary missions); however, existing radar systems are resource-intensive in terms of cost, power, mass, and spectrum usage when continuously monitoring large areas of interest. I address this challenge by presenting a novel implementation of passive radar that leverages ambient radio noise sources (instead of transmitting a powerful radio signal) as a low-resource approach for echo detection, ranging, and imaging. Starting from theory, simulation, and lab-bench testing, I first present the results of our passive radar sounding demonstration using the Sun to measure ice sheet thickness at Store Glacier, Greenland. I then project the passive radar’s performance and ability to provide valuable glaciological observations (such as melt rates, bed reflectivity changes, and englacial water storage) across Greenland and Antarctica.

In the second part of my presentation, I then extend this technique to enable passive synthetic aperture radar (SAR) imaging using radio-astronomical noise sources (e.g., the Sun and Jupiter’s radio emissions). I conclude by highlighting applications of this technique to planetary remote sensing, such as (1) using Jupiter’s HF radio emissions alongside an active VHF radar to characterize and correct for Europa’s ionospheric dispersion during a flyby mission and (2) using the Mars Reconnaissance Orbiter (MRO) Shallow Radar (SHARAD) to analyze solar radio burst candidates for Martian passive sounding.

Leveraging Ambient Radio Noise for Passive Radar Sensing of the Terrestrial and Space Environment

Airspy 2022 Summer Sale + SDR# Noise Reduction Improvements

Airspy is currently holding a 15% off summer promotion which runs until June 30. The sale is active at all participating resellers, which includes our own store where we have the YouLoop on sale for US$29.71 including free shipping to most countries in the world. Please note that due to new EU VAT collection laws, EU customers must purchase the discounted YouLoop from our eBay or Aliexpress stores. 

The YouLoop is a low cost passive loop antenna for HF and VHF. It is based on the Möbius loop design which results in a high degree of noise cancelling. However the main drawback is that it is a non-resonant design, which means that it works best when used with ultra sensitive receivers like the Airspy HF+ Discovery. 

Some good reviews include the YouTube videos done by Frugal Radio where he reviews HF reception and VLF & LF reception with an Airspy HF+, and later tests it with an RTL-SDR Blog V3 using direct sampling. Techminds also has an excellent review on his YouTube channel. We also have a product release overview on this post from March 2020.

Airspy SDR# Noise Reduction Improvements

We also wanted to highlight some recent improvements to SDR#, the official software for Airspy products, and compatible with the RTL-SDR. One recent development is the introduction of the Natural Intelligence Noise Reduction (NINR) feature which results less audio artifacts, deeper noise cancelling, and lower CPU usage.

Airspy "NINR" Noise Reduction on 40m

SignalsEverywhere: Measuring Filters with RTL-SDR, a Noise Source and Spektrum

In her latest video Sarah from the SignalsEverywhere YouTube channel describes how it is possible to use an RTL-SDR to measure RF filters when combined with a noise source and the Spektrum SDR software. In the video Sarah comprehensively explains how to set all the various parameters in Spektrum, before demonstrating a filter measurement with a noise source. Sarah explains how the power measurements may not be entirely accurate, however it is enough to get some idea about the shape of a filter.

Measuring Filters With RTL-SDR and Noise Source. Spektrum SDR Spectrum Analyzer

Generating White Noise with an FL2K Dongle

The FL2K project allows us to turn a cheap USB 3.0 dongle into a fully transmit capable SDR (filters still required for high power work). We have posted about the FL2k project several times on this blog since early 2018.

Recently we thank reader Mikael for submitting a fork of the Osmo-FL2K driver code which he writes enables it to generate white noise with uniform amplitude distribution. This could be useful for projects that require a wideband noise source such as when attempting to measure filter and VSWR of antennas.

IK1XPV, author of the code notes that the current code is only tested on the Windows driver branch, via compilation on Visual Studio 2019 at the moment. The main contributed code can be found in \src\fl2k_noise.c.

FL2K Test Hardware
An FL2k Dongle connected to an RTL-SDR via VGA to BNC Breakout Cable and Attenuators

SWLing Blog: Building a Homemade YouLoop (Noise-Cancelling Passive Loop) Antenna

Over on the SWLing Post Blog Thomas has uploaded an excellent tutorial showing how you can build your own YouLoop (aka a Noise-Cancelling Passive Loop). If you've been following our previous posts you'll know that we recently started selling the "YouLoop" which is designed and produced by Youssef from Airspy. The YouLoop is a passive loop antenna designed for HF reception, but also works well up until VHF. The main catch is that you need to use it with a receiver with a low noise figure front end, like the Airspy HF+ Discovery (SDRplay units should work well too). The RTL-SDR Blog V3 in direct sampling mode does somewhat work with it to an extent, but RTL-SDRs relying on upconverters for HF will probably see poor results.

We are selling the loop in our store for $34.95 including free shipping to most countries. Batch 2 is currently in preorder, but is almost sold out and should begin shipping soon. Batch 3 will also be available for preorder soon and is about 2 weeks away from shipping. We also expect there to be a high quality pre-amp available for sale in a few months too which will help those with higher noise figure radios or longer feed line runs. 

Alternatively, as the YouLoop is a relatively simple and openly shared design it is possible to homebrew your own if you want to. Over on the popular SWLing Post blog, author Thomas has written up a full tutorial on hombrewing your own. The parts you need include coax cable, a BN-73-302 wideband 2-hole ferrite core, magnet wire, heat shrink tubing and electrical tape. The guide takes you through the process of winding the balun and constructing the loop using simple tools and a soldering iron.