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This project details three variants of a vertical half-wave antenna design for the 4-meter (70MHz) amateur radio band. The antennas use end-feeding with a parallel-tuned circuit for impedance matching to 50-ohm coaxial cable. The first variant uses suspended flexible wire for portable use, the second employs a fiberglass rod with internal wire for permanent outdoor installation, and the third utilizes aluminum tent poles for quick mobile deployment. Despite the narrow bandwidth of the matching circuit, this suits the narrow 4m FM allocation well. The design offers an effective omnidirectional radiation pattern and can be constructed with readily available materials.

FT2 is an innovative digital mode for amateur radio, developed by IU8LMC with support from ARI Caserta. It utilizes the same codec as FT8 and FT4 but compresses the transmission cycle to just 3.8 seconds, allowing for a complete QSO in as little as 11 seconds. This remarkable speed enables operators to achieve approximately 240 QSOs per hour, making it particularly advantageous for contests and DXpeditions. The FT2 protocol has been rigorously tested on-air, with successful QSOs verified down to -12 dB SNR on both 40m and 80m bands. The mode's efficiency and speed are a significant advancement in digital communications, providing a new tool for amateur radio operators looking to maximize their contact rates. As an experimental release, the software is subject to updates, ensuring continuous improvement and adaptation to user feedback.

The FreeDV project offers a suite of digital voice modes for HF radio, with its flagship mode being the Radio Autoencoder (RADE). This free GUI application for Windows, Linux, and macOS allows any SSB radio to be used for high-quality digital voice communications. The technology, including the Codec 2 speech codec, is 100% open source under the GNU Lesser Public License v2.1 and two-clause BSD license, fostering experimentation and innovation in amateur radio digital voice. Development is managed by a six-person Project Leadership Team and funded by an ARDC grant, with Software Freedom Conservancy as the financial sponsor. Controlled testing indicates that RADE technology performs comparably to SSB on both high and low SNR channels. The resource lists various FreeDV nets and activities, including a worldwide activity day, and specific nets in Argentina (7.045 MHz LSB), Australia (7.197 MHz LSB), the UK (3.640 MHz LSB, 5.3685 MHz USB), and the USA (7.181.5 MHz LSB, 7.177 MHz LSB). Support resources include a mailing list, Discord channels, and a Zoom channel. Documentation such as the FreeDV GUI User Manual and the SM1000 Manual are provided, alongside access to source code for RADE, FreeDV GUI, and Codec 2.

DX Propagation by DR2W! High resolution SNR maps in pseudo color. Propagation based on the actual sunspot number.

An improved version of DK9NL QRM Killer, with dedicated noise sampling antenna for completely filtering of plasma TV rattle on HF bands

KB9AMG's Top WSPR Spots presents a focused online tool for monitoring **2-way WSPR reports**, specifically detailing propagation data from February 2026 through March 2026. This resource aggregates _WSPRnet_ data, allowing radio amateurs to observe weak signal propagation conditions across various bands. The interface is straightforward, presenting callsigns, frequencies, signal-to-noise ratios, and distances for each reported contact, which is crucial for understanding current band openings and signal paths. The utility of this WSPR spotter lies in its ability to quickly visualize global propagation. Users can identify active stations and assess signal viability over long distances, with reports often showing contacts spanning thousands of kilometers. For instance, a typical WSPR report might indicate a signal from Europe reaching North America with a _SNR_ of -25 dB, demonstrating effective low-power communication. This data is invaluable for planning DX operations or evaluating antenna performance under actual propagation conditions.

The 2200-meter band (135.7-137.8 kHz) presents unique challenges for amateur radio operators due to its narrow 2.1 kHz bandwidth, low signal levels, and high noise. W1TAG explores various transmission modes suited for this demanding environment, highlighting that traditional voice modes like SSB and AM are impractical. Plain old CW serves as the baseline, demonstrating effectiveness across different modes, though signal-to-noise ratio (SNR) significantly limits practical speeds. The article notes that reducing CW speed below 5 WPM can improve copy, especially with computer-aided spectrum analysis software capable of decoding signals too weak for human ear reception. QRSS, or "CW sent slowly enough that speeds are best expressed in seconds per dot," is a key mode for LF work, with examples ranging from 3 seconds/dot to extreme 240 seconds/dot transmissions. _Argo_ by I2PHD is mentioned as a simple program for QRSS, enabling reception of signals like BRO, a Part 15 beacon, at a distance of **1100 miles**. Other modes discussed include Dual Frequency CW (DFCW), which uses frequency shifts to distinguish dots and dashes, and Binary Phase Shift Keying (BPSK), a phase modulation technique employing 0 to 180-degree phase flips. WOLF (Weak-signal Operation on Low Frequency), a specialized BPSK form by KK7KA, encodes 15-character messages into 960-bit packages, taking 96 seconds to transmit, and has demonstrated successful reception over **672 seconds** for a message from a 1-watt beacon. Further modes include PSK, FSK variations like JASON and MSK, and graphical modes such as Hellschreiber and Chirped Hell. The article concludes with a practical chart comparing the time required to send a simple message like "WD2XES FN42CH " across these diverse LF modes, offering valuable insights for operators planning contacts on the low bands.

Operating in challenging RF environments, DeepCW provides real-time Morse code decoding capabilities through a neural network model. The software excels at robustly interpreting weak signals, mitigating the effects of QSB, and performing effectively in noisy conditions, a common issue for CW operators. It also supports multi-channel decoding, allowing for the simultaneous interpretation of multiple CW signals present in the audio stream. The application integrates audio pass-through functionality, enhanced with deep-learning-based noise reduction to clean up the incoming audio before decoding. Benchmarking data indicates a 0.00% error rate from 0 to -4 dB SNR, with errors remaining below 1.5% at -8 dB SNR and under 8% at -10 dB SNR across the full range of CW speeds. The project provides comparative analyses against established decoders such as _CW Skimmer_, _fldigi_, and _ggmorse_, utilizing publicly available CW QSO videos from YouTube to demonstrate its performance. DeepCW is designed for cross-platform deployment, supporting Windows, macOS, Android, and iOS operating systems. The core _DeepCW Engine_, which houses the decoding model and a reference implementation, is available separately, offering Python and Node.js examples for decoding from WAV audio files.

Amateur Radio enthusiasts who are interested in the LF and MF bands may be familiar with WSPR and WSJT JT9. Used as a propagation probe or beacon, WSPR allows very weak signals to be detected, frequently as weak as -27dB SNR.

Signal to Noise Ratio, definition and application to Radio Communications. Signal to Noise Ratio (SNR) is a figure of merit that compares the level of a desired signal to the level of background noise.

Hamradio_copilot is an open-source tool designed for DXers and contesters who need real-time situational awareness. It is ideal for operators who want to visualize propagation trends instantly rather than scrolling through raw text streams of cluster spots. Rally acting as a copilot for your station, this tool transforms raw data into actionable intelligence. By visualizing Signal-to-Noise Ratios (SNR) across different bands, it helps operators make quick decisions on which band to prioritize or where to point their antennas, effectively showing not just who is on air, but where the propagation is currently open from your location. This is a fantastic information for avid contesters. The software aggregates data from two primary services: - Reverse Beacon Network (RBN) via Telnet. - PSK Reporter via MQTT feeds. It processes this data to generate a comprehensive HTML report featuring SNR heatmaps and statistical breakdowns by ITU Zone. Users can filter data by specific zones or country codes (ADIF), analyze historic time ranges, and optionally integrate solar weather data. The complete source code is available on GitHub, allowing for community customization. It is written in Python and uses SQLite for data management.

Compare the efficiency of two HF (or VHF) antennas by simultaneously transmitting FT8 on nearly the same frequency and analyzing PSKReporter SNR data. Determine the effectiveness of your new antenna compared to the old one in dB, to several decimal places. Run FT8 on two transmitters with different call signs and equal power, connected to each antenna. AntennaCompare analyzes global signal reports, isolating antenna performance.

Provides a real-time intelligence layer for **WSJT-X** and **JTDX** operators, enhancing weak-signal digital mode operations. It enables remote monitoring of decodes and transmit control for FT8 and FT4 from any browser or device, eliminating the need for port forwarding or VPNs. The platform integrates with PSKReporter data to compare a station's signal-to-noise ratio (SNR) against nearby operators receiving the same signal, offering immediate feedback on propagation and station performance. Operators can track DXCC entities, grid squares, CQ/ITU zones, and WAC status in real-time through an integrated logbook. A live global band-activity map visualizes who is decoding a station's transmissions, providing tactical intelligence updated every 15 seconds. The system also includes social features like community chat, allowing operators to share station metrics and engage with others. The Companion app, a small bridge application, runs on the shack PC, facilitating seamless remote access and control. This setup transforms the weak-signal operating experience by providing actionable data and real-time insights into propagation openings and station effectiveness.

This article About Noise offers a clear, non-mathematical explanation of noise in telecommunications, making it accessible to radio amateurs. It categorizes noise into fundamental and intermodulation types, detailing sources like thermal, shot, and cosmic noise. The article effectively highlights noise impact on receivers and introduces key metrics like Noise Figure and Signal-to-Noise Ratio (SNR). While comprehensive, it remains digestible, balancing technical depth with simplicity. A great resource for understanding radio noise fundamentals without complex equations, though a more detailed discussion on mitigation techniques would further enhance its value.

Demonstrates _FreeDV RADE_, an open-source digital voice mode for HF, which combines machine learning with classical Digital Signal Processing (DSP) to achieve improved speech quality and spectral efficiency. Released in June 2025 by ARDC grantee FreeDV, RADE operates at Signal-to-Noise Ratios (SNRs) as low as -2 dB and occupies approximately 1.5 kHz of bandwidth, half that of a typical SSB signal, while transmitting about 8 kHz of voice audio. The mode also features an optimized Peak-to-Average Power Ratio (PAPR) for efficient power amplifier use, reducing heat and consumption. Users, such as _VK3TPM_, report significantly improved listening ease compared to analog modes, particularly in high HF noise environments, making it easier to conduct nets across various Australian states. The mode's integration into popular radios like the _FlexRadio 6000_ series allows direct operation without external computers. A C library for RADE is available, facilitating broader integration into other radios and SDR programs, with development continuing on FreeDV RADE v2 to further narrow bandwidth below 1 kHz.

The WSJT Log Viewer, version 1.0.0.10 as of 2026-08-02, is a freeware Windows application developed by Carsten Groen (OZ9AAR) for analyzing signal strengths from WSJT digital mode contacts. It processes the ALL.TXT log file generated by WSJT-X, extracting and presenting data from decoded TX and RX messages. Initially designed for EME operations on 70cm and 23cm, the software has expanded to include all HF bands, 6m, 4m, 2m, 1.25m, 70cm, 23cm, 24GHz, and 47GHz. Key features include displaying total QSOs, unique callsigns, days with activity, and signals heard, with filtering options by band and completed QSOs. The application also monitors the ALL.TXT file for live updates every two seconds, reflecting new decodes in real-time. Users can view session logs, activity charts showing daily signal counts and decoded signals, and a "Top Partners" tab listing the 25 most frequent contacts. The software provides detailed QSO information, including best received SNR and sent reports, with graphical representations of SNR over time. It supports multiple "My Callsign" entries within a single ALL.TXT file and offers a function to generate a text list of initials worked per band. The program is distributed as a single executable file, requiring no installation, and stores its configuration in a LogViewer.cfg file, allowing for different setups via command-line arguments.