AM Radio Break-in System: Emergency Alert Transmission Using Red Pitaya FPGA
#Hardware

AM Radio Break-in System: Emergency Alert Transmission Using Red Pitaya FPGA

Trends Reporter
12 min read

A 12-channel AM radio broadcast system for emergency alerts in unmanned tunnels, featuring runtime frequency configuration, dynamic power scaling, and mathematically proven hardware watchdog safety.

A 12-channel AM radio broadcast system using Red Pitaya FPGA for emergency alert transmission in unmanned tunnels. Features Feature Status 12 simultaneous carrier frequencies ✅ Runtime frequency configuration (no hardware changes) ✅ AM modulation with pre-recorded audio ✅ Dynamic power scaling ✅ MVC architecture (Rust + JavaScript) ✅ Event-driven pub/sub via event bus ✅ Stateless UI — device is source of truth ✅ Network polling & auto-reconnect ✅ Fail-safe hardware watchdog (5s timeout) ✅ Formal verification (14 properties, 6 covers, all proven) ✅ Architecture Software Layer Framework: Rust (Tauri) backend + JavaScript frontend Architecture: MVC with event-driven pub/sub Model (model.rs): NetworkManager handles TCP/SCPI, device state, 500ms polling, auto-reconnect with exponential backoff View (view.js, index.html): Stateless — only renders confirmed device state. Never assumes hardware state. Controller (controller.js): Handles user input, publishes events to bus Event Bus (event_bus.rs, event_bus.js): Components communicate through a central bus instead of calling each other directly. Rust emits events to JS frontend via Tauri bridge. State Machine (state_machine.rs): IDLE → ARMING → ARMED → STARTING → BROADCASTING → STOPPING. Intermediate states prevent invalid transitions. Source of Truth: The device, not the software. UI only updates after hardware confirms. Hardware Layer NCO: 12 Numerically Controlled Oscillators generate carrier frequencies (505–1605 kHz) AM Modulator: Combines audio source with each carrier Dynamic Scaling: Output power adjusts based on enabled channel count Audio Buffer: BRAM stores pre-recorded emergency messages (16,384 sample buffer at ~5 kHz playback rate). AXI audio loader available for runtime loading. Watchdog Timer (wd.v): Hardware fail-safe — if GUI heartbeat stops for 5 seconds, RF output is killed and latched. Only manual operator reset restores output. SCPI Server (am_scpi_server.py): Runs on Red Pitaya, parses text commands, converts frequencies to phase increments, writes to FPGA registers via /dev/mem. Signal Generation Flow GUI click → invoke("set_frequency") → model.rs sends "FREQ:CH1 700000" over TCP → am_scpi_server.py converts to phase_inc = (700000 × 2³²) / 125MHz → writes to FPGA register via /dev/mem → NCO generates carrier → AM modulates → RF output Formal Verification The watchdog timer is mathematically proven correct using bounded model checking and k-induction (SymbiYosys + Z3 SMT solver). Unlike simulation-based testing which checks individual scenarios, formal verification proves correctness across every possible input, in every possible state, for all time. 14 Safety Properties (All PASS) Category # Property Guarantee Basic 1 Reset clears all !rstn → counter=0, triggered=0, warning=0 2 Heartbeat prevents trigger Heartbeat resets counter, clears triggered and warning 6 Disable kills everything !enable → all outputs cleared 7 Counter bounded Counter never exceeds TIMEOUT_CYCLES 8 Force reset works force_reset clears all state 9 Warning low before threshold counter < WARNING_CYCLES → warning=0 Safety 3 No early trigger triggered ONLY when counter ≥ TIMEOUT_CYCLES 4 Trigger guaranteed at timeout Liveness: timeout always fires trigger 5 Warning before trigger triggered=1 → warning=1 5b Contrapositive !warning → !triggered 10 Warning high in zone counter > WARNING_CYCLES → warning=1 11 Counter increments correctly Exactly +1 per clock cycle during counting Output 12 time_remaining at zero counter=0 → time_remaining = TIMEOUT_SEC 13 time_remaining at trigger triggered → time_remaining = 0 14 time_remaining monotonic Decreases every cycle during counting 6 Cover Scenarios (All Reached) # Scenario Steps Description 1 Trigger fires 23 Counter reaches timeout 2 Warning without trigger 21 In warning zone, not yet timed out 3 Exact timeout boundary 22 Counter = TIMEOUT_CYCLES exactly 4 Last-second heartbeat 19 Heartbeat at counter = T-1 5 Recovery from triggered 24 Triggered state cleared by force_reset 6 Warning-to-trigger lifecycle 23 Warning then immediate trigger Running Verification cd fpga/formal/ sby -f wd.sby Expected output: SBY [wd_prove] DONE (PASS, rc=0) summary: successful proof by k-induction. SBY [wd_cover] DONE (PASS, rc=0) summary: 6/6 cover statements reached. Scalability Verification uses CLK_FREQ=1, TIMEOUT_SEC=5 to keep state space tractable. Production uses CLK_FREQ=125000000. The RTL is parameterised — same if/else logic, same state transitions. Proof at reduced scale implies correctness at production scale. See fpga/formal/README.md Requirements Hardware Red Pitaya STEMlab 125-10 AM Radio receiver(s) for testing Ethernet cable (for Red Pitaya connection) Software Dependency macOS Windows Rust + Cargo curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh Download rustup-init.exe from rustup.rs Node.js (LTS) brew install node or nodejs.org nodejs.org Xcode Command Line Tools (macOS only) xcode-select --install — Visual Studio Build Tools (Windows only) — Download — select "Desktop development with C++" Formal Verification (optional) SymbiYosys Yosys Z3 SMT solver Installation 1. Clone the repository git clone https://github.com/Park07/amradio.git cd amradio/ugl_am_radio 2. Build the GUI macOS # Install Rust (if not installed) curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh source $HOME/.cargo/env # Install Xcode CLI tools (if not installed) xcode-select --install # Install Node.js via Homebrew (if not installed) brew install node # Build cd gui npm install npm run build The built .app will be in gui/src-tauri/target/release/bundle/macos/. Windows (PowerShell) # 1. Install Rust # Download and run rustup-init.exe from https://rustup.rs # Close and reopen PowerShell after install # 2. Install Visual Studio Build Tools # Download from https://visualstudio.microsoft.com/visual-cpp-build-tools/ # Select "Desktop development with C++" during installation # Close and reopen PowerShell after install # 3. Install Node.js # Download LTS from https://nodejs.org # Close and reopen PowerShell after install # 4. Verify installations rustc --version cargo --version node --version npm --version # 5. Build cd gui npm install npm run build The built .exe will be in gui\src-tauri\target\release. Note: First build takes ~2–3 minutes (compiling Rust). Subsequent builds are faster. 3. Setup Red Pitaya SSH into the Red Pitaya: ssh root@ # Default password: root Copy required files: scp am_scpi_server.py root@:/root/ scp axi_audio_sequence_loop.py root@:/root/ scp alarm_fast.wav 0009_part1.wav 0009_part2_fast.wav root@:/root/ scp fpga/red_pitaya_top.bit root@:/root/ Note Bitstream is already on the Red Pitaya SD card from development. To rebuild: open project_William.xpr in Vivado, generate bitstream, then scp the new .bit file to the Red Pitaya. 4. Python Environment (Red Pitaya) The Red Pitaya runs Alpine Linux with Python 3.5. The SCPI server has no external dependencies (stdlib only). The audio loader requires numpy: # On Red Pitaya pip install numpy Note: The Red Pitaya's Python 3.5 does not support venv out of the box and runs as root, so packages are installed globally. This is fine — it's an embedded device, not a shared server. 5. Python Environment (Local Development — optional) If you want to run or modify the Python scripts locally (e.g. for testing audio processing without the Red Pitaya): python3 -m venv venv source venv/bin/activate # macOS/Linux # or .\venv\Scripts\activate # Windows PowerShell pip install -r requirements.txt Add venv/ to .gitignore if not already present. Audio Files The system plays three audio files in a loop: Alarm → Part 1 → Part 2 → (repeat). File Description Duration alarm_fast.wav Alarm tone ~4 sec 0009_part1.wav Emergency message part 1 ~3 sec 0009_part2_fast.wav Emergency message part 2 ~3.6 sec All audio is downsampled to ~5 kHz to fit within the FPGA's 16,384-sample BRAM buffer. The axi_audio_sequence_loop.py script handles resampling, 14-bit conversion, and sequential loading automatically. Usage You need three SSH terminals open to the Red Pitaya, plus one local terminal for the GUI. Note: The Red Pitaya's IP address may change each time it is powered on. Check your router's DHCP client list or use ping rp-f0866a.local to find it. Step 1: Connect to Red Pitaya Open a terminal and SSH in: ssh root@ # Password: root Step 2: Load the FPGA bitstream On the Red Pitaya (first SSH terminal): cat /root/red_pitaya_top.bit > /dev/xdevcfg This loads the AM radio design onto the FPGA. Required after every power cycle. Step 3: Start the SCPI server On the Red Pitaya (same or second SSH terminal): python3 /root/am_scpi_server.py Leave this running — it bridges TCP commands from the GUI to FPGA registers. Step 4: Start the audio loop Open a second SSH terminal to the Red Pitaya: ssh root@ sudo python3 /root/axi_audio_sequence_loop.py Expected output: ============================================================ AXI AUDIO SEQUENCE - AUTO LOOP Alarm -> Part 1 -> Part 2 -> (repeat) ============================================================ Buffer: 16384 samples FPGA playback rate: 5000 Hz Press Ctrl+C to stop ============================================================ Step 5: Run the GUI On your local machine: cd gui npm run dev Or run the built binary directly from src-tauri/target/release/. Step 6: Connect and broadcast Enter the Red Pitaya IP address Click Connect Enable desired channels (1–12) Adjust frequencies if needed Click START BROADCAST Tune an AM radio to any enabled frequency Vivado (for FPGA development only) If you need to modify the FPGA design and rebuild the bitstream, install Vivado 2020.1. Red Pitaya provides a setup guide here: https://redpitaya.readthedocs.io/en/latest/developerGuide/fpga/getting_started/vivado_install.html All basic Red Pitaya settings and tutorials are available on the Red Pitaya official documentation. File Structure ugl_am_radio/ ├── gui/ │ ├── src/ │ │ ├── index.html # HTML + CSS │ │ └── js/ │ │ ├── event_bus.js # Frontend pub/sub + Tauri listener │ │ ├── model.js # Rust API calls (stateless) │ │ ├── view.js # DOM rendering │ │ └── controller.js # Event handlers │ └── src-tauri/src/ │ ├── main.rs # Entry point │ ├── model.rs # NetworkManager + DeviceState │ ├── commands.rs # Tauri command bridge │ ├── event_bus.rs # Rust pub/sub + Tauri emit │ ├── state_machine.rs # Broadcast state transitions │ └── config.rs # Constants ├── fpga/ │ ├── formal/ │ │ ├── wd.v # Watchdog + 14 formal properties │ │ ├── wd.sby # SymbiYosys config │ │ └── README.md # Formal verification docs │ ├── am_mod.sv # AM modulation module │ ├── am_radio_ctrl.v # 12-channel AM radio controller │ ├── axi_audio_buffer.v # AXI audio buffer for BRAM playback │ ├── nco_sin.v # Numerically Controlled Oscillator │ ├── red_pitaya_top.sv # Top-level FPGA integration │ ├── sine_lut_4096.mem # 4096-point sine lookup table │ └── watchdog_timer.v # Watchdog timer module (production) ├── am_scpi_server.py # SCPI server (runs on Red Pitaya) ├── axi_audio_sequence_loop.py # Audio sequence loader (alarm → part1 → part2 loop) ├── alarm_fast.wav # Alarm tone ├── 0009_part1.wav # Emergency message part 1 ├── 0009_part2_fast.wav # Emergency message part 2 ├── requirements.txt # Python dependencies (numpy) └── README.md Channel Frequencies (Default) Channel Frequency CH1 505 kHz CH2 605 kHz CH3 705 kHz CH4 805 kHz CH5 905 kHz CH6 1005 kHz CH7 1105 kHz CH8 1205 kHz CH9 1305 kHz CH10 1405 kHz CH11 1505 kHz CH12 1605 kHz Frequencies adjustable at runtime (500–1700 kHz range). Watchdog Safety Design Standard watchdog: device hangs → timer overflows → restarts device → back to normal This watchdog: GUI dies → counter hits timeout → kills RF output → stays dead until operator resets Why different: Automatically restarting a radio transmitter in an unmanned tunnel is dangerous. The system requires human confirmation before RF output resumes. Fail-safe, not fail-recover. Safety margin: GUI polls every 500ms. Watchdog timeout is 5s. That's 10 consecutive missed heartbeats before trigger — resilient against transient network delays. Performance Notes Channels Signal Strength Recommendation 1–2 Excellent ✅ Best quality 3–4 Good ✅ Recommended max 5–8 Fair ⚠️ May need amplifier 9–12 Weak ⚠️ Short range only Recommendation: 4–5 channels maximum for reliable reception. SCPI Commands Reference Command Description *IDN? Device identification STATUS? Full device state OUTPUT:STATE ON/OFF Master broadcast enable CH1:FREQ 505000 Set CH1 frequency (Hz) CH1:OUTPUT ON/OFF Enable/disable CH1 SOURCE:MSG 1 Select audio message WATCHDOG:RESET Reset watchdog timer WATCHDOG:STATUS? Query watchdog state Testing Rust Unit Tests 11 tests across the backend — state machine transitions, event bus pub/sub, retry logic, and config validation. cd gui/src-tauri cargo test Formal Verification (FPGA) 14 mathematically proven safety properties on the watchdog timer. See the Formal Verification section above. Mock Server For testing the GUI without a Red Pitaya connected: # Terminal 1 — start mock FPGA cd gui npm run mock # Terminal 2 — start GUI cd gui npm run dev Then connect to 127.0.0.1:5000 in the GUI. Troubleshooting Problem Solution No RF output after power cycle Reload bitstream: cat /root/red_pitaya_top.bit > /dev/xdevcfg GUI won't connect Check IP, ensure SCPI server is running No audio, only carrier Start audio loop: sudo python3 /root/axi_audio_sequence_loop.py file does not start with RIFF id Audio file is not a valid WAV — reconvert with ffmpeg -i input -ac 1 -ar 44100 output.wav Weak signal Reduce enabled channels (max 4–5) Connection timeout Check network, Red Pitaya power Watchdog triggered unexpectedly Check network stability, increase timeout if needed linker 'link.exe' not found (Windows) Install Visual Studio Build Tools with "Desktop development with C++" cargo not found Restart terminal after Rust install npm not found Restart terminal after Node.js install xcode-select errors (macOS) Run xcode-select --install For Future Developers This project will be inherited by the next EPI cohort. Here's what you need to know. What works The full signal chain is functional: GUI → Rust backend → TCP/SCPI → Red Pitaya → FPGA → RF output. Audio playback loops automatically. The watchdog kills RF if the GUI disconnects. All of this has been demonstrated live on hardware. What to improve The FPGA audio buffer is limited to 16,384 samples in BRAM, which forces downsampling to ~5 kHz. Longer or higher-quality audio would need external memory (DDR or SD card). The axi_audio_sequence_loop.py script reloads audio over AXI with a ~1.4 second gap between tracks — DMA would eliminate this. Currently only 4–5 channels are practical at usable signal strength; an external RF amplifier stage would allow all 12 channels simultaneously. Key files to understand first Read model.rs (the Rust backend — all network logic lives here), am_scpi_server.py (the bridge between TCP commands and FPGA registers), and am_radio_ctrl.v (the register interface between software and hardware). Those three files are the handshake points between every layer of the system. Red Pitaya access The Red Pitaya IP was 192.168.0.101 during development. SSH credentials are root/root. The FPGA bitstream loads automatically on boot from the SD card. If the bitstream is missing or corrupted, you'll need Vivado to rebuild it from the .sv/.v sources in fpga/. Development workflow For GUI changes: edit JS/HTML in gui/src/, run npm run dev — hot-reloads the frontend. For Rust backend changes: edit files in gui/src-tauri/src/, the dev server recompiles automatically (takes a few seconds). For FPGA changes: edit Verilog in fpga/, synthesise in Vivado, generate new bitstream, copy to Red Pitaya SD card. Authors William Park — Software architecture (GUI, MVC, event bus), hardware watchdog timer, formal verification Bowen Deng — FPGA development (NCO, AM modulation, RF output) Acknowledgments UGL Limited — Project sponsor University of New South Wales — EPI program Robert Mahood (UGL) — Engineering supervisor Andrew Wong (UNSW) — Academic supervisor Final Version: 13th February 2026

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