⚠ FICTIONAL CONCEPT / DEMONSTRATION SITE ONLY

AN-ALQ is a fictional next-generation electronic warfare concept created for demonstration, portfolio, and educational purposes only. This is NOT a real company, NOT a real product, and is NOT affiliated with the U.S. Department of Defense, any real defense contractor, or any actual AN/ALQ-series military systems.

All specifications, capabilities, certifications, and compliance claims shown here are entirely fictional and illustrative. No real technology or controlled information is being offered.

AN-ALQ / CAPABILITIES

FULL-SPECTRUM
COUNTERMEASURE
SYSTEMS

Four integrated capability modules. Each operates independently or as part of a coordinated electronic attack. All driven by the same adaptive AI core.

01

ACTIVE DENIAL & DECEPTION

AN-ALQ/JAM

RADAR JAMMING

"Neutralize adversarial radar before it resolves a return."

L-BANDS-BANDC-BANDX-BANDKu-BAND

FREQUENCY RANGE

0.5 – 18 GHz

RESPONSE LATENCY

< 12ms

JAMMING TECHNIQUES

14 ACTIVE

ERP (PEAK)

2 kW

AN-ALQ's radar jamming subsystem deploys AI-generated waveforms that adapt in real time to the emitter's operating parameters. The system classifies threat radar by type, mode, and scan pattern within milliseconds of first intercept, then selects the optimal jamming technique — noise, deceptive, or false-target injection — without operator input.

Supported techniques include spot jamming, barrage jamming, swept jamming, range gate pull-off (RGPO), velocity gate pull-off (VGPO), and angle deception. The AI continuously evaluates jamming effectiveness via electronic support measures (ESM) feedback and adjusts power, frequency, and modulation accordingly.

OPERATIONAL SPECTRUM

02

SIGNAL INTERDICTION & DENIAL

AN-ALQ/COMMS

COMMUNICATIONS DISRUPTION

"Sever adversarial command-and-control at the RF layer."

HFVHFUHFL-BANDS-BAND

TARGET PROTOCOLS

FHSS / DSSS / LTE / SATCOM

INTERDICTION MODES

2 (REACTIVE / PRE-EMPTIVE)

CHANNEL ISOLATION

< 3 kHz

SIMULTANEOUS TARGETS

UP TO 32

The communications disruption module targets adversarial C2 links, data links, and encrypted voice channels with precision RF interdiction. Machine-learning signal fingerprinting identifies specific emitters within a dense RF environment, enabling selective disruption of target communications without collateral spectrum contamination.

The system supports both reactive and pre-emptive interdiction modes. In reactive mode, the AI responds to detected transmissions within the engagement window. In pre-emptive mode, known adversarial frequency plans and hopping sequences are loaded and jammed proactively. Frequency-hopping spread spectrum (FHSS) and direct-sequence spread spectrum (DSSS) waveforms are handled natively.

OPERATIONAL SPECTRUM

03

ADAPTIVE SIGNAL INTELLIGENCE

AN-ALQ/SIGINT

AI THREAT DETECTION

"Identify and classify novel emitters before they become threats."

DC – 40 GHzFULL SPECTRUM

EMITTER LIBRARY

40,000+ SIGNATURES

CLASSIFICATION ACC.

99.3%

UNKNOWN EMITTER ID

< 2 SECONDS

OPERATING MODES

PASSIVE / ACTIVE

The AI threat detection engine provides continuous spectral monitoring across the full operational frequency range. Neural classification models trained on a library of 40,000+ emitter signatures identify known threats in under 50ms. Unknown emitters are flagged, characterized, and added to the operational threat library autonomously.

The system operates in both passive (ESM) and active (ELINT) modes. Passive mode provides covert spectral awareness with zero RF emissions. Active mode enables precision emitter location via time-difference-of-arrival (TDOA) and angle-of-arrival (AOA) techniques. All intercept data is logged, time-stamped, and available for post-mission analysis.

OPERATIONAL SPECTRUM

04

FALSE TARGET GENERATION

AN-ALQ/DECP

ELECTRONIC DECEPTION

"Inject false data into adversarial sensor networks."

L1 / L2X-BANDKu-BANDFULL EO/IR

FALSE TRACKS (SIMULTANEOUS)

UP TO 64

DECEPTION MODES

6 ACTIVE

GNSS SPOOFING

GPS / GLONASS / GALILEO

TRACK FIDELITY

SENSOR-MATCHED

Electronic deception operations generate synthetic radar returns, false AIS tracks, and spoofed navigation signals that are indistinguishable from legitimate targets. The AI models adversarial sensor processing chains to produce deceptions that survive correlation and track-fusion algorithms.

Supported deception modes include false target generation (FTG), terrain bounce jamming, cross-eye jamming, and GPS/GNSS spoofing. The system can generate up to 64 simultaneous false tracks with independent kinematics, RCS profiles, and Doppler signatures. Deception fidelity is continuously validated against known adversarial sensor parameters.

OPERATIONAL SPECTRUM

PLATFORM

AIRBORNE / GROUND / MARITIME

Multi-domain deployment

INTERFACE

MIL-STD-1553 / ARINC 429

DoD architecture compatible

INTEGRATION

OPEN API + CLASSIFIED SDK

Available under NDA

NEXT STEP

REQUEST A TECHNICAL
CAPABILITIES BRIEFING.

Detailed system specifications, integration documentation, and classified performance data available to qualified defense contractors and government program offices under NDA.