TR Sensors and Detector Programs

[Kartal1]

Well true to some extent. Do you remember the simulations of the S-400 radar? Lİke if we put the radar there, there are blindspots here etc. Similar situation with Koral. If the geography allows it can jam a ground radar 300km away maybe even more. That is why I wrote "up to" 300km. Because most of the time it is hard to jam radars over 200km because of geographic obstructions.

https://twitter.com/i/web/status/1265767436126760965

What about jamming of air platforms?

 

[TheInsider]

It can jam everything in its GHz range. It doesn't matter if it is land, sea, or air-based.

 

[Turko]

What about jamming of air platforms?

Range for targets at 5000m

https://twitter.com/i/web/status/1265774864633397248

That's why I would prefer 3 s350 Vityaz rather than 1 S400.
( There is one advantage of S400 over s350 , capabilities against Ballistic Missiles however we bought export version which is limited by producer. 40n6e missiles are limited with 30km altitude which isn't different from 9m96e / s350's missiles.)


S400 would be great for naval applications.

 

[Cabatli_TR]

Aselsan radar projects that are going to be integrated to HAKIM command control system.

• EIRS
• AIR(Low Altitude)
• Passive radar
• YIR (High Altitude)

Non-NATO systems can be integrated to new generation HAKIM command control system.

 

[Cabatli_TR]

 

[Cabatli_TR]

Russian and NATO systems are introduced in same Hakim network

 

[Cabatli_TR]

Aselsan drone detection system

 

[Cabatli_TR]

KAFES, all information from multiple types and numbers of sensors is combined to maximize situational awareness in the operational environment, enabling multi-target tracking even in intensely chaotic environments. In the operational environment, it is possible to operate independently of the type and number of sensors connected to the system or to be connected when necessary.

 

[Cabatli_TR]

YARASA, the target's type information (Airplane, Helicopter, UAV, Missile, etc.) is predicted as probabilistic on the combined picture. With the use of multiple sensors and the processing of all information from the sensors, specific type classification of targets is also done. For example, with this capability, drone-class aircraft can be distinguished from other objects (birds, etc.), while predictions are made regarding the sub-class information of drone-type aircraft (DJI-Mavic, Parrot-Disco, etc.).

With this capability, which is based on artificial intelligence, the target type information of aircraft that may pose a threat to both long-range systems that make zone defense and short-range systems that make point/facility defense can be detected in a short time, thus enabling the system to operate an effective response process. The target classification system works whenever the main system is active and corrects itself continuously and automatically.

 

[Cabatli_TR]

Aselsan POTA, target identification (friendly, foe, neutral, suspicious) on the combined image etc.) information is predicted as probabilistic. Although STANAG 4162 compatible architecture is used, this system, which can work in integration with NATO command and control systems, also works with target classification systems. All useful information in the system or transferred to the system is used for diagnostic purposes. Intelligence and visual diagnostic data are processed by the system to strengthen the prediction of the given diagnosis. The diagnostic prediction is updated by using the enemy and suspicious event detection information to be obtained through the integrated system. The diagnostic system is capable of learning.
With this ability, both the region
Diagnostic information of aircraft that may pose a threat to long-range systems that make defense and mid-range systems that make point / facility defense can be detected in a short time, thus helping the system to operate an effective response process

 

[Cabatli_TR]

​

With TDST, it is ensured that the threat situations of the targets in the operational environment are evaluated and the weapons to be engaged in order to eliminate the related threat are determined optimally, taking into account the entire operational environment. Threat-weapon matching is performed by scoring the air targets with the heuristic optimization algorithm specially developed for the auction.

 

[Cabatli_TR]

ASIST, data with increased accuracy and frequency is directed to weapons in order to prevent targets that pose a threat in the operational environment. Absolute interception efficiency is sustained by predicting the maneuvers or countermeasures to be implemented by the target to be avoided, thus creating uninterrupted, highly accurate and consistent guidance data. Forecasts are made in accordance with the types of targets. In this context, this ability works integrated with other abilities (YARASA, TDST, etc.). In current situations, even if there is a change in the target-weapon matching, the process of creating guidance data for the new target continues with the ability to adapt quickly.

 

[Cabatli_TR]

All these automation and decision support systems are developed for Turkish surface to air network centric air/missile/point defence systems. When these SAM projects are completed, the operational capabilities of TAF will be reached to high levels.

 

[Spook]

Aselsan drone detection system

View attachment 22226

IHTAR Mini/Micro Defense System with ACAR Radar
Gergedan RF Countermeasure System
15 kVA İŞBİR IHTAR Tactical Generator

IHTAR is an cost-effective solution that can also be integrated with other sensors and systems like ATOM 40mm and Laser Defense Systems.

 

[Spook]

https://twitter.com/i/web/status/1400786134385532934

Aselsan Low Earth Orbit Situational Awareness YAKUD Project

Different systems like radars, telescopes etc. sensors will be used to detect LEO satellites and space debris.

 

[Kartal1]

All these automation and decision support systems are developed for Turkish surface to air network centric air/missile/point defence systems. When these SAM projects are completed, the operational capabilities of TAF will be reached to high levels.

Automation and decision support systems integrated into the command & control structures are the future of warfare. Fire support, CAS, air defence systems, reconnaissance and EW platforms integrated with AI automation and decision support systems that are working with the intelligence provided within the network and effective communication means helping into classifying, analyzing threats and providing advices on when and how to engage. This will help a lot the commanding staff in their time with taking decisions and will improve a lot the clarity of the picture of the whole war theatre. This command & control structure combined also with offensive means will be something that will bring our armed forces levels ahead of the armed forces of many developed countries. I really love the network centric warfare concept of the SSB and the Turkish Armed Forces.

 

[Huelague]

Aselsan radar projects that are going to be integrated to HAKIM command control system.

• EIRS
• AIR(Low Altitude)
• Passive radar
• YIR (High Altitude)

View attachment 22216


Non-NATO systems can be integrated to new generation HAKIM command control system.

View attachment 22219

S-400?

 

[TheInsider]

S-400?

S-400 and soviet systems in the Azerbaijan Armed Forces inventory.

 

[Spook]

Aselsan YENER Ground-Penetrating Radar will enter service starting 2022. It can detect metal, nonmetal mines and IEDs. Radar has an modular design which allows it to be integrated to various different platforms like UGVs. Radar uses MIMO architecture. Can create high definition 2D and 3D imagery. Can work integrated with RF countermeasure systems. Can auto-calibrate itself to different terrain. Radar can also use SAR techniques for detection.

 

[Cabatli_TR]

@Test7 bro, Can we enlarge this triple anti-drone-like system called Şahin?