Currently, cutting-edge technologies represented by artificial intelligence (AI) are accelerating their entry into the military field and will profoundly change the form and rules of warfare. The application of AI in the field of electronic warfare is particularly prominent, achieving a leap from traditional electronic warfare to intelligent electronic warfare with second level countermeasures. How to deal with intelligent electronic warfare has become a new challenge faced by countries. AI enables autonomous evolution of electronic warfare. In March 2025, the US Air Force integrated AI algorithms into the EPAWSS system (full name "Eagle Passive/Active Warning and Survival System") equipped on F-15E and F-15EX fighter jets, giving the system stronger combat capabilities. In the past, EPAWSS systems were often helpless when facing unknown radar signals. After integrating AI algorithms and leveraging AI's self-learning ability, the system can quickly capture and analyze unknown radar signals, generate targeted countermeasures, and enable fighter jets to have stronger survival and combat capabilities in complex and variable electromagnetic environments. During the same period, Raytheon Company in the United States combined the CADS system (full name "Countermeasures Delivery System") with the AN/ALR-69 radar warning receiving system to enhance the electronic warfare capabilities of the F-16 fighter jet. In the past, F-16 fighter jets relied on an internal pre-set threat database to compare and identify threats in combat, which resulted in inadequate response to new threats. CADS system relies on AI self-learning ability to automatically identify new threats. In actual combat, CADS systems can monitor radar signals in real time, analyze and compare them, and quickly determine whether they are a new type of threat. Once a new threat is identified, the system will immediately activate a response mechanism, which greatly enhances the F-16 fighter's survivability on the battlefield. At present, the system has passed practical testing and its effectiveness and reliability have been verified. In addition, the US Navy's "Revenge Goddess" project also utilizes AI technology to enhance its electronic warfare capabilities. As early as 2020, the project used AI technology to assist ships and drones in amplifying deception signals, simulating the radar, communication, and infrared features of large-scale fleets, and making the enemy mistakenly believe that there was a large-scale combat force attacking. By using this method, the enemy can misjudge the battlefield situation, achieve the goal of dispersing their firepower, and create favorable combat conditions for their own side. The US Navy plans to apply this technology to aircraft carriers to provide electronic warfare support for carrier battle groups and enhance fleet combat capabilities. The characteristics of intelligent electronic warfare are distinct. In the past, electronic warfare systems mainly relied on internal preset threat databases to identify targets through comparison and analysis when dealing with threats. This process is like using a "dictionary" to search for "new words". Once encountering "new words" (new radar signals) that are not in the "dictionary", one will be trapped. The electromagnetic environment on the modern battlefield is becoming increasingly complex, and new radar technologies are constantly emerging, making the limitations of traditional electronic warfare systems more prominent. In the past, when encountering new radar signals, traditional electronic warfare systems often required several hours or even longer to analyze and identify, which could lead to aircraft delays and even significant losses in the rapidly changing modern battlefield. The addition of AI has significantly improved electronic warfare capabilities. The intelligent electronic warfare system, relying on AI self-learning ability, can analyze unknown radar signals in real time. It is like a constantly learning 'intelligent translation software', which compares and analyzes a large amount of historical and real-time data when receiving new radar signals, quickly understands the meaning of the signals, and formulates corresponding countermeasures. This kind of countermeasure time compression, ranging from hours to seconds, greatly enhances combat effectiveness. In modern warfare, the battlefield has expanded to multiple fields such as land, sea, air, space, and electricity. The combat targets of electronic warfare include multiple key systems such as enemy radar, communication, and guidance. The fake targets generated by intelligent electronic warfare systems not only display signal characteristics similar to real targets on the opponent's radar, but also simulate the communication and guidance signal characteristics of real targets, thereby achieving simultaneous interference with the opponent's radar, communication, and guidance systems. In combat, this "false fleet" constructed using AI may lure the enemy to waste a large amount of firepower on false targets, while the real combat force can take the opportunity to break through the enemy's defense line and achieve combat objectives. This collaborative deception technology can enhance the combat capability of electronic warfare. How to counter the threat of intelligent electronic warfare with AI technology? On the one hand, dynamic frequency hopping and quantum encryption techniques can be used. The so-called dynamic frequency hopping refers to constantly changing communication channels, making it difficult for opponents to lock in and analyze their own signals. Quantum encryption provides an almost unbreakable encryption method to ensure the security of communication content. The combination of these two technologies can effectively prevent signals from being parsed by AI. On the other hand, AI bait tactics are an effective means of response. The use of AI technology to generate false electromagnetic signals, which have similar characteristics to real combat platforms and can interfere with the opponent's electronic warfare system. When the opponent's electronic warfare system misjudges these decoy signals as real targets, it will disperse its attack force and provide cover for its own real combat operations. In addition to technical countermeasures, building resilient networks is an important measure to address intelligent electronic warfare. For example, deploying mobile monitoring stations in key areas. These monitoring stations are like "electronic ears and eyes" distributed on the battlefield, capable of identifying abnormal signals in real time. Through advanced signal processing technology, they can also trace abnormal signals, identify signal sources, and provide strong support for subsequent response measures. In addition, the construction of redundant communication links is also crucial. Establish multiple communication links by combining various communication methods such as satellites and drone relays. When the main link is disrupted, the backup link can be immediately activated to ensure the continuity of command operations. This redundant design can effectively improve the anti-interference capability of communication systems and ensure the smooth progress of combat operations. Currently, intelligent electronic warfare is moving from the laboratory to the battlefield, marking a profound transformation in the form of warfare. Its core is not a breakthrough in a single technology, but the intelligence of the entire combat chain. In this intangible electronic battlefield, algorithms have become the key factor determining victory or defeat. Therefore, exploring the path of algorithm adversarial and system resilience construction is an important response strategy, only in this way can we take the initiative in future intelligent electronic warfare. (New Society)