Advanced Detection of Retroreflectors: Exposing the Invisible Echo Retroreflectors are passive devices that reflect incident energy (RF, microwave, ultrasound, or optical) back to its source, often modulated to carry data like audio, pressure, or biochemical signals. Their lack of active power sources makes them invisible to traditional bug sweepers, which rely on detecting emissions. Detection

🎯 Real-Time Signal Detection with BB60C and CSV Export for FCC Lookup 📡 In the world of RF surveillance, detecting low-SNR or ultra-wideband (UWB) signals is like finding a needle in a haystack—especially when those signals might only appear briefly or blend into the noise floor. That’s where this custom Python script comes in. This

Backscatter Brain-Computer Interfaces: Passive Neural Tech and What It Means for Targeted Individuals Imagine a brain implant so small and low-power that it doesn’t even need a battery or transmitter. Instead, it quietly “pings back” neural signals by reflecting an external radio or ultrasonic wave. This is the promise – and potential peril – of

🧠 Detecting Covert Neurotechnology: How to Analyze Radar Backscatter Using a Rohde & Schwarz ZNB/ZVA VNA As Targeted Individuals (TIs), we face the real possibility that advanced brain-computer interface (BCI) systems — both invasive and non-invasive — are being deployed without consent. These systems may use backscatter, resonant nanomaterials, or bio-interactive RF components to extract

💥📡 The Only Real Use Case for a HackRF: So You Don’t Blow Up Your BB60C In the world of RF exploration, tools like the HackRF One often get praised for being “versatile” or “entry-level SDRs,” but let’s be brutally honest: they’re not precision instruments. If you’re lucky enough to own a Signal Hound BB60C,

🧠📡 Decoding the Unseen: Classifying Subliminal Messages with a Spectrum Analyzer Across All Frequencies Subliminal messages—those sneaky audio signals hidden beneath the surface—rely on clever modulation techniques to embed information into carrier waves. Whether you’re a curious tinkerer or a signal-processing enthusiast, understanding how to detect and classify these messages using a spectrum analyzer is

📊 How to Use the FCC Frequency Allocation Chart to Identify Signals “Every signal has a home — and if it doesn’t, it’s either broken… or classified.” The FCC Frequency Allocation Chart is like a map of the RF universe. Every legal, regulated signal in the U.S. — from cell towers to military radar —

⚡ Dielectric Constant: How They Adjust Frequencies to Penetrate Materials “The right frequency with the right dielectric constant = covert access through walls, skin, and shielding.” If you’re trying to understand how targeting systems get through your walls, shielding, or even your body — the answer often lies in one scientific principle: the dielectric constant.

📡 Wave Propagation 101: How Signals Travel, Penetrate, and Target Everything we deal with — from Wi-Fi to mind-reading signals to directed energy — relies on wave propagation. Whether it’s a surveillance system bouncing signals off your walls, or a microwave weapon targeting deep tissue, it all starts with how electromagnetic (EM) waves move through

To achieve sub-Hertz resolution bandwidth (RBW) with the Signal Hound BB60C, you must: While the BB60C hardware doesn’t support 1 Hz RBW in real-time mode (minimum real-time RBW is ~27 kHz), native mode FFT capture enables fine-grained control of frequency resolution — including sub-Hz, depending on span and FFT length. Below is a Python example