AI-Assisted Simulation Models DRDO's Arudhra Radar Tracking F-35A Stealth Fighter Within Indian Air Defence Network

AI-Assisted Simulation Models DRDO's Arudhra Radar Tracking F-35A Stealth Fighter Within Indian Air Defence Network


A newly surfaced AI-driven simulation has illustrated a major leap in India's airspace protection abilities, showcasing the domestically developed Arudhra Medium Power Radar (MPR) successfully identifying and monitoring a Lockheed Martin F-35A Lightning II.

The virtual exercise demonstrated how this stealth aircraft could be tracked within the framework of the Indian Air Force’s Integrated Air Command and Control System (IACCS).

Posted on the social media platform X by defence analyst @warrior_in49033, the simulation provides a visual breakdown of how the Arudhra system can neutralise the advantages of low-observable aircraft.

By leveraging advanced electronic beam steering and active electronically scanned array (AESA) technology, the radar can continuously process real-time data to expose stealth signatures, track target movements, and calculate engagement options.

The IAF relies on the IACCS as its fully automated, digital nervous system. Operating on the highly secure Air Force Network (AFNET), this command and control architecture seamlessly stitches together feeds from civilian and military sensors nationwide to create a unified air situation picture.

During the simulated scenario, the Arudhra radar continuously relayed live coordinates into the IACCS, proving that domestic technology can generate a cohesive, real-time battlefield map capable of exposing fifth-generation fighters.

These tracking capabilities are a core component of Mission Sudarshan Chakra, an ambitious, multi-layered national shield project slated for full operational capability by 2035.

Under this initiative, the Defence Research and Development Organisation (DRDO) and the IAF are working jointly to establish advanced anti-stealth radar networks tailored to identify modern threats, including American F-35s, Russian Su-57s, and Chinese J-35 stealth fighters.

Although computer-generated models cannot fully substitute real-world combat testing, this AI-backed exercise offers crucial data points.

It sheds light on how the 4D radar’s multi-band frequencies can penetrate stealth coatings, maps out the trajectory patterns of low-radar-cross-section targets over long distances, and tests the rapid decision-making capacity of the IACCS when coordinating a response.

Military experts suggest that this simulation reflects India's accelerating journey toward total self-reliance in the aerospace sector.

By integrating the Arudhra MPR alongside other locally built sensors, the IAF is drastically improving its ability to secure Indian skies and assert dominance, even against technologically superior adversaries.

The complete video of the simulated engagement can be viewed online via the shared link, giving the public a rare glimpse into the complex mechanics of stealth detection.

As more advanced iterations of these radar systems undergo field trials and enter active service in the near future, India is cementing its reputation as a rising powerhouse in indigenous defence electronics.

Conceptualised by DRDO’s Electronics and Radar Development Establishment (LRDE) and produced by Bharat Electronics Limited (BEL), the Arudhra is an S-band, rotating active phased-array 4D radar.

According to official specifications, it boasts a maximum instrumented range of 400 kilometres and can detect a small target with a radar cross-section (RCS) of just 2 square metres from 300 kilometres away. It scans altitudes ranging from a mere 100 metres up to 30 kilometres.

Equipped with solid-state transmitter modules, high-speed electronic beam steering, and automatic target classification, the system is actively replacing legacy equipment.

Its introduction guarantees robust, 360-degree surveillance against a broad spectrum of modern threats, ranging from slow-moving drones and cruise missiles to high-speed stealth jets.
 

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