The Tactical Airborne Reconnaissance Simulator (TARS) provides a low-cost, software-based, state-of-the-art sensor training capability for payload operators that runs on a COTS laptop or desktop computer utilizing GA-ASI's Claw® software. This complete sensor operator training system allows students to conduct simulated Intelligence, Surveillance, and Reconnaissance (ISR) sensor planning, control and organic cross-cueing of a complimentary, synergistic sensor suite including Electro-optical/Infrared (EO/IR) and GA-ASI's Lynx® Multi-mode Radar during exercises that emulate real-world combat scenarios.
Bridging the gap between classroom training and cost-prohibitive aircraft flight training, TARS provides sensor command and control simulations, featuring synthetic EO/IR video and moving targets. Additionally, it uses satellite imagery and 3D models to generate Synthetic Aperture Radar (SAR)-like products in real-time, alleviating the need for warehoused imagery.
Featuring photographic quality resolution, the Lynx radar detects time-sensitive targets and offers a long-range, wide-area surveillance capability that can provide high-resolution SAR imagery at slant ranges well beyond EO/IR sensor range. Lynx also incorporates a broad area Ground Moving Target Indicator (GMTI) scanning capability to detect moving vehicles, operating day and night in all weather conditions. The radar is currently employed by the U.S. Air Force, U.S. Department of Homeland Security, U.S. Army, Royal Air Force, Italian Air Force, and the Iraqi Air Force.
Claw is a highly mature, Windows-based integrated sensor payload control and analysis software package now in use on both manned and remotely piloted aircraft for both automatic and manual payload control and cross-cueing of a wide variety of payloads, including radars and various EO/IR sensors.
- Tactically relevant and cost-effective Claw-based training
- Hands-on multi-sensor ISR sensor mission planning and operations simulation
- Easily configurable to emulate specific sensor suite packages
- Authentic replication of sensor cross-cue capability
- Build instructor-driven scenarios from scratch
- Tailorable system configuration for diverse training environments