Russian media: Russian drones effectively cooperate with long-range firepower

2024-07-30

On July 25, the website of Rossiyskaya Gazeta published an article entitled "Effective Cooperation: UAV and" Iskandar "or UAV and artillery". The author is Alexei Leonkov. The excerpt of the full text is as follows: Western experts have recently recognized more and more frequently that the Russian military's tactics of using UAVs to cooperate with artillery or high-precision missile systems are very effective. These experts expressed frustration that this coordinated tactic has caused fatal damage to the Ukrainian armed forces. They pointed out that Russian drones are constantly improving, and their data transmission channels are less susceptible to interference due to strict protection. The Ukrainian army will be bombed even at a location nearly 100 kilometers away from the front line. The Russian military's strikes on airports, train stations, warehouses, and command posts where senior Ukrainian military officers and Western experts gather have confirmed this. The performance of Russian unmanned aerial vehicles has indeed greatly improved, with the ability to acquire and transmit high-quality information. But most importantly, the Russian military has formed a stable "reconnaissance strike" loop, which can provide high-quality target indications for firepower equipment. That is to say, Russian drones can now search and discover particularly important Ukrainian military targets from high altitude, and firepower equipment can also strike the detected targets in a short period of time. The tactics of combining drones with Iskander missile systems or artillery are very effective. The prerequisite for achieving this is to tear apart and destroy the distributed integrated air defense system built by the West in Ukraine. At first, it was difficult for the Russian military to deal with this system. In the past, the Russian military would send drones to tactical areas within a 10 kilometer depth on the enemy side of the contact line, but these drones were usually shot down. When the Russian military learned to use tactics such as releasing false targets to paralyze the enemy's air defense system, they immediately began to destroy the enemy's air defense infrastructure. After the Russian military mastered this tactic, the losses of Russian drones in enemy airspace began to significantly decrease. Now, these drones have started flying to enemy areas 30 kilometers or even further away from the contact line. The Russian attack on Milgorod Airport indicates that even 100 kilometers is not the maximum distance for Russian drones to penetrate enemy territory. Now, whenever drones detect important targets in enemy territory, they will transmit their coordinates in real-time to high-precision missile systems. These systems can almost immediately strike coordinates. Overall, the Russian military's radio technology reconnaissance capability has significantly improved. The Russian Ministry of Defense has recently launched multiple military satellites. It is speculated that this includes modern radio technology reconnaissance satellites, which should have started tracking enemy radio equipment. It can be asserted that the Russian military's automated command system, which once sparked heated discussions, has been built and passed practical tests. Now, everything has been integrated into a unified circuit, including various information acquisition tools such as satellites. The real-time monitoring images transmitted by Russian drones in the past were very unclear, sometimes even only black and white images. Now these issues have been resolved: drone videos have high resolution and rich details. In addition, the Russian military is using artificial intelligence to establish a so-called target image database. Disguising the target is also useless, as artificial intelligence can confidently detect it. Once the recognition result is confirmed by the operator, attacks on the target will follow one after another. (New Society)

Edit:Xiong Dafei    Responsible editor:Li Xiang

Source:XinHuaNet

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