SIGINT & RF

SIGINT & signal intelligence

Articles on SIGINT platform software: RF signal processing, ELINT/COMINT collection, direction finding, RF geolocation, spectrum monitoring, drone detection, and passive radar.

Signal intelligence platforms face a narrower set of engineering constraints than most defense software: wideband RF data arrives faster than conventional databases can ingest, emitters change frequency to evade collection, and classification decisions must hold under real-time pressure. The pipeline from antenna to actionable report must be both low-latency and analytically robust — without the documentation support available for commercial signal processing stacks. Articles here cover SIGINT platform architecture, ELINT and COMINT collection design, SDR integration, geolocation methods, spectrum monitoring, and counter-drone RF systems.

15 articles in this topic, drawn from sigint-rf.

drone detection RF software
Drone Detection with RF: How Software-Defined Radio Systems Identify and Track UAVs
Using SDR-based systems to detect, classify, and track unmanned aerial vehicles through RF signature analysis — architecture and implementation for defense environments.
June 4, 2026 7 min read
counter-UAV electronic warfare software
Counter-UAV Electronic Warfare Software: Detect, Classify, and Neutralize
Software architecture for counter-drone systems combining passive RF detection with active electronic countermeasures to neutralize unauthorized UAVs.
June 4, 2026 7 min read
passive radar defense bistatic
Passive Radar for Defense: Bistatic Detection Without Active Emissions
Passive radar detects and tracks targets using existing transmitters of opportunity — FM, DVB-T, mobile networks — without revealing the sensor's location. Architecture and accuracy trade-offs.
June 4, 2026 6 min read
electronic warfare signal detection
Electronic Warfare Signal Detection: Jamming, Spoofing & Hostile Emitters
How EW systems detect and classify jamming signals, GPS spoofing, and hostile emitters in real time — signal detection algorithms and processing pipeline design.
June 4, 2026 7 min read
SDR signal processing pipeline SIGINT
SDR Signal Processing Pipelines for SIGINT: From IQ to Intelligence
Building the signal processing chain from raw IQ samples to finished intelligence using software-defined radio — channelization, demodulation, and protocol decoding stages.
June 4, 2026 7 min read
SIGINT platform architecture
SIGINT Platform Architecture Design: From RF Collection to Actionable Intelligence
End-to-end SIGINT platform architecture: RF front-end, signal processing, emitter database, geolocation engine, and analyst-facing intelligence tools — design decisions explained.
June 4, 2026 8 min read
spectrum deconfliction military
Spectrum Deconfliction in Military Operations: Managing RF Interference Between Friendly Systems
How defense forces coordinate spectrum use across communication, SIGINT, and EW systems to prevent mutual interference — deconfliction planning tools and real-time coordination.
June 4, 2026 6 min read
cyber threat intelligence Telegram monitoring
Telegram OSINT for Defense Cyber Threat Intelligence
Telegram has become a primary communication channel for threat actors, hacktivist groups, and military units. Systematic monitoring of Telegram channels produces actionable cyber threat intelligence for defense organizations.
May 11, 2026 5 min read
direction finding network defense
Direction Finding Networks: Architecture for RF Emitter Geolocation
A direction-finding network uses multiple synchronized receivers to geolocate radio emitters. Here's how DF network software is architected and how accuracy tradeoffs work.
May 11, 2026 7 min read
ELINT COMINT fusion intelligence
ELINT and COMINT Fusion: Combining Electronic and Communications Intelligence
ELINT captures radar and weapon system emissions. COMINT intercepts voice and data communications. Fused together, they produce a coherent picture of adversary capability and intent that neither discipline achieves alone.
May 11, 2026 6 min read
RF geolocation defense TDOA AOA
RF Geolocation in Defense: TDOA, AOA, Hybrid Positioning
Locating RF emitters without GPS cooperation requires passive geolocation techniques. TDOA, AOA, and FDOA each exploit different signal properties to estimate emitter position from multiple collection points.
May 11, 2026 6 min read
software-defined radio defense
Software-Defined Radio Platforms for Defense: Hardware and Software Stack
SDR replaces fixed-function radio hardware with programmable software. Here's an overview of SDR platforms used in defense SIGINT and how the software stack is structured.
May 11, 2026 7 min read
signal classification machine learning
Signal Classification with Machine Learning for SIGINT
Classifying radio signals — whether military, commercial, or unknown — is a core SIGINT task. Here's how ML models are trained and deployed for automated signal classification.
May 11, 2026 8 min read
spectrum monitoring military
Spectrum Monitoring: Detecting Unauthorized Emitters
Unauthorized radio transmitters in a military AO can indicate enemy activity or compromise. Here's how spectrum monitoring software detects, classifies, and alerts on anomalous emissions.
May 11, 2026 7 min read
SIGINT platform software
SIGINT Platform Components: What Goes Into a Signal Intelligence System
A SIGINT platform captures, processes, and analyzes RF signals. Here are the core software components: collection, processing, correlation, and visualization.
May 6, 2026 8 min read

Articles tagged "SIGINT & Signal Intelligence" are written by Corvus Intelligence engineers who build SIGINT and RF analytics software for defense organizations. About the team →

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Defense Intelligence Cybersecurity C2 Systems Edge AI & ML
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Frequently Asked Questions

+What is SIGINT (signals intelligence)?

SIGINT (Signals Intelligence) is intelligence derived from the interception and analysis of electronic signals. It has two primary disciplines: ELINT (Electronic Intelligence) — analysis of non-communications emitters such as radar systems, weapons guidance signals, and navigation beacons; and COMINT (Communications Intelligence) — interception and analysis of voice, data, and messaging communications. SIGINT collection requires specialized RF receivers, signal processing pipelines, and exploitation software to convert raw intercepts into actionable intelligence products.

+What is the difference between ELINT and COMINT?

ELINT focuses on electronic emissions that are not communications — primarily radar systems, missile guidance, navigation aids, and EW emitters. ELINT analysis characterizes emitters by their technical parameters (pulse width, PRF, frequency agility) and associates them with specific platform types and orders of battle. COMINT intercepts communications — radio voice, digital data links, messaging — and exploits their content or metadata. Both disciplines contribute to the overall SIGINT picture and are often fused in a single operational platform.

+What is RF geolocation?

RF geolocation determines the physical location of a radio emitter by analyzing signal characteristics captured at one or more collection points. Common techniques include TDOA (Time Difference of Arrival) — using the time difference of a signal's arrival at multiple synchronized receivers to triangulate position; FDOA (Frequency Difference of Arrival) — using Doppler shift between receivers; and Angle of Arrival (AoA) — using directional antenna arrays. Multi-technique fusion improves accuracy and reduces dependence on any single collection geometry.

+What are the main components of a SIGINT platform?

A SIGINT platform consists of: RF collection hardware (wideband receivers, software-defined radios); a signal processing pipeline (channelization, demodulation, protocol decoding); a signal database (storing intercepts with metadata — frequency, time, location); an exploitation workstation (for analyst review, transcription, and reporting); a geolocation engine; and a dissemination system that delivers finished intelligence products to C2 and fusion platforms.

+How is drone detection performed using RF?

RF-based drone detection captures and classifies the radio frequency emissions of UAVs — primarily control link signals and video downlinks — using wideband software-defined radio receivers. Classification models identify drone types by RF fingerprint, even when frequency-hopping protocols are used. Detection range and accuracy depend on receiver sensitivity, antenna geometry, and the signal processing pipeline's ability to isolate drone emissions from background RF noise in dense electromagnetic environments.