Tactical Missile Technology

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About the Journal

Chinese Name:战术导弹技术

English Name: Tactical Missile Technology

Publication cycle: Bimonthly

Language: Chinese

Director: China Aerospace Science and Industry Corporation Limited (CASIC)

Sponsor: Beijing HIWING Scientific and Technology Information Institute

Editor in chief: LIU Haifeng

ISSN: 1009-1300

CN: 11-1771/TJ

Current Issue Archive Online First Most Cited Most Download

Issue 03,2026

美以伊冲突专题

Analysis and insights on the application of artificial intelligence technology in the U.S.-Israel-Iran conflict

Li Caijun;Wang Yashen;Jiang Hao;Chen Tianzhu;Zhou Yifei;Liu Zhenyu;Li Hao;

Aiming at the weaponized and systematic application of Artificial Intelligence(AI) technology in the U.S.-Israel-Iran conflict, takeing the full-process empowerment of the intelligent kill chain as the main line, the combat application of AI technology in four core domains are systematically analyzed based on typical practical combat scenarios, namely reconnaissance intelligence and situational awareness, operation plan generation and wargaming deduction, strike coordination and unmanned system operations, as well as cognitive confrontation and information operations. And it is examined the subversive reshaping effect of AI technology on the decision-making efficiency, kill chain closure speed and combat force system of modern warfare, as well as the core shortcomings and risks exposed in terms of algorithm reliability, human-machine collaboration, ethical responsibility and other related aspects. Finally, combined with practical combat experience, the targeted enlightenment and recommendations are put forward, the transformative impact and strategic influence of AI technology on future intelligent warfare are discussed in the dimensions of combat paradigm, victorywinning mechanism, war ethics and international norms.

Issue 03 ,2026 No.237 ;
[Downloads: 223 ] [Citations: 0 ] [Reads: 119 ] HTML PDF Cite this article

Research on the employment of precision strike weapons in the 2026 U.S.-Israel-Iran conflict

Wang Yalin;Liu Jingwei;Xiao Yi;Yan Siming;

To research the employment and characteristics of precision strike weapons in the 2026 U.S.-Israel-Iran conflict, the performance of the precision strike weapons used by the United States, Israel, and Iran is reviewed and summarized, the operational employment of precision strike weapons by the U. S.-Israeli forces and Iran is outlined, the main characteristics of their employment in the conflict are analyzed, and the relevant conclusions are drawn. The research shows that precision strike weapons play a critial role in system paralysis deep-strike operations, and strategic deberrence, presenting characteristics such as large-scale application and at high intensity in this conflict, with a balanced reliance on both highperformance and low-cost weapons, and with deep empowerment from intelligence and intelligent technologies. This conflict provides strong reference value for the future development, construction, and employment of precision strike weapons.

Issue 03 ,2026 No.237 ;
[Downloads: 129 ] [Citations: 0 ] [Reads: 98 ] HTML PDF Cite this article

Application and operational analysis of unmanned aerial vehicles in the U.S.-Israel-Iran conflict

Liu Yang;Qin Liuzhen;Zhang Yang;

Based on open-source intelligence of the U.S.-Israel-Iran conflict, this paper systematically presents the platform characteristics and operational applications of various unmanned aerial vehicles, including medium-altitude long-endurance ISR/strike UAVs, low-cost loitering munitions, stealth loitering munitions, first person view(FPV) drones and so on. It focuses on analyzing the core modes, combat effectiveness and typical characteristics of unmanned warfare and counter-UAS operations of all parties. In the conflict, the United States and Israel has established battlefield information superiority by virtue of longendurance UAVs; While Iran has achieved a weak defeating the strong by employing large-scale low-cost UAVs, and adopted composite penetration featuring high-low coordination and fast-slow combination of "loitering munitions plus missiles"; Meanwhile, Iran-affiliated armed forces has realized efficient and precise strikes against ground armored targets with FPV drones. This conflict verifies the cost-asymmetric advantage of low-cost UAVs in war of attrition, and reveals the trend that unmanned warfare has transformed from auxiliary support to main combat equipment, and air combat form has evolved towards unmanning and distribution. The research results can provide theoretical support and important reference for the layout of UAV equipment system, the innovation of unmanned combat tactics and the construction of counter-UAS system.

Issue 03 ,2026 No.237 ;
[Downloads: 242 ] [Citations: 0 ] [Reads: 112 ] HTML PDF Cite this article

总体技术

Design of dynamic requirement generation architecture for equipment system based on large language models

Feng Xuanming;Zhao Gang;Wang Tong;Lei Zhen;Zhang Long;

To address the issues of disconnection from battlefield dynamics, fragmented cross-domain knowledge, and low response efficiency in traditional equipment requirement generation approaches, a dynamic requirement generation architecture of equipment system based on large language models(LLMs) is proposed. The architecture adopts a "four-layer three-loop" structure, establishing a dynamic closed-loop chain of "Strategic-Mission-Capability-Equipment"(SMCE). By integrating semantic analysis, knowledge enhancement, multimodal generation and virtual verification technologies, intelligent iterative evolution of equipment requirements is achieved. Validation in urban underground combat scenarios is carried out to validate the framework′s feasibility and advantages in equipment requirement generation and solution optimization evaluation, providing theoretical and methodological support for equipment system design in complex battlefield environments.

Issue 03 ,2026 No.237 ;
[Downloads: 268 ] [Citations: 0 ] [Reads: 93 ] HTML PDF Cite this article

Investigation of flow control of synthetic jets under dynamic stall of airfoils

Liu Junhui;Sun Jiahao;Ma Shuai;Ma Liqiang;Chang Jianlong;

To address the issue of dynamic stall in airfoils during pitch oscillations, a numerical simulation method is employed based on the SST k-ω model and sliding mesh to systematically investigate the control effects of synthetic jets applied at different positions and combinations(10% c, 40% c, and 70% c) on dynamic stall of airfoils. The regulatory mechanisms are revealed through analysis of pressure distribution, flow field structure, and aerodynamic coefficients. The research indicats that in single jet control, the 40% c jet exhibits the best control effect, delaying the stall angle of attack by 1.6° and increasing the average lift c coefficient by 30.1%. In combined jet control, the(40% & 70%) dual jet combination exhibits the best synergistic effect, further increasing the average lift coefficient by 4.9% and reducing the drag coefficient by 16.2% compared to the 40% c single jet. However, the(10% & 40% & 70%) c triple jet combination only increases the lift coefficient by 1.3% from this baseline, indicating that the first two jets already cover the core separation region. Essentially, the synthetic jet enhances the lift at the leading edge by injecting momentum into the boundary layer to adjust the pressure distribution of the airfoil, suppresses flow separation in the midto-rear section to reduce the drag, and optimizes the aerodynamic performance of the airfoil. The study clarifies the role of combined jet layout in dynamic stall control, providing direct reference for the optimized arrangement of synthetic jets in engineering applications.

Issue 03 ,2026 No.237 ;
[Downloads: 34 ] [Citations: 0 ] [Reads: 101 ] HTML PDF Cite this article

Current issue statistical data more>>

Research on task allocation for radar counter-reconnaissance based on rolling window-adaptive hybrid chaotic particle swarm optimization

Xu Zhihao;Han Jun;Feng Mingyue;An Tong;

Aiming at the high-dimensional， dynamic， multi-constraint， and multi-objective optimization challenge in radar counter-reconnaissance task allocation under modern electronic warfare environments， a RHACPSO is proposed. A multi-objective optimization model is constructed， which comprehensively considers reconnaissance benefit， resource matching degree， risk cost， and timeliness. A rolling time window mechanism is employed to handle the dynamic uncertainties of the battlefield environment. A domain knowledge-driven hybrid initialization and search guidance strategy is designed， deeply embedding the reconnaissance effectiveness evaluation model into the algorithm flow. Furthermore， a diversity-aware adaptive chaotic perturbation mechanism and a lightweight genetic-simulated annealing hybrid operation are introduced to balance global exploration and local exploitation capabilities. Simulation experiments demonstrate that， compared to the adaptive CPSO and the GA， the proposed algorithm exhibits significant advantages in static optimization accuracy， dynamic response speed， and solution robustness， providing effective support for intelligent decision-making in radar counter-reconnaissance within complex electromagnetic environments.

Online First Publication Date (Accepted Manuscript):2026-07-28 16:57:47 ;
[Downloads: 0 ] [Citations: 0 ] [Reads: 2 ] HTML PDF Cite this article

Tactical knowledge-driven evolutionary algorithm for multi-agent encirclement combat in complex battlefield environments

Bai Jiangyao;Chen Honghui;

To address the limitations of low development efficiency， weak dynamic adaptability， and insufficient robustness in highly adversarial scenarios of traditional manually designed multi-agent encirclement algorithms， a tactical knowledge-guided autonomous evolutionary algorithm for multi-target encirclement of unmanned swarms is proposed in this paper. The semantic reasoning capabilities of LLMs and the iterative search characteristics of evolutionary computation are integrated in this algorithm. Through three core designs， namely tactical knowledge-experience fusion and reuse， hierarchical decision generation， and battlefield constraint self-correction， end-to-end autonomous optimization from combat mission scenario definition to executable control code generation is achieved. Without relying on unified control by a central node， self-organized collaboration of heterogeneous agents under local perception and communication constraints is enabled by the proposed algorithm. A two-dimensional dynamic adversarial scenario in a complex battlefield， consisting of 6 randomly evading targets and 36 heterogeneous encirclement platforms， is constructed as the verification environment. The performance of the proposed algorithm is compared with that of mainstream algorithms from multiple dimensions， including encirclement success rate， convergence speed， and robustness in extreme scenarios. The results demonstrate that the core tactical and technical indicators of the proposed algorithm are significantly superior to those of the comparison methods. High-level decisions consistent with military tactical logic can be autonomously generated by the algorithm， which is equipped with the engineering capability for direct deployment on unmanned combat platforms. The mission execution efficiency and anti-interference performance of swarm intelligent collaboration in complex battlefields are effectively improved by this algorithm， which provides a new paradigm for automated algorithm development for swarm intelligent collaborative combat missions of aerospace weapon systems， including missiles， unmanned aerial vehicles (UAVs)， and various unmanned platforms.

Online First Publication Date (Accepted Manuscript):2026-07-28 16:05:36 ;
[Downloads: 0 ] [Citations: 0 ] [Reads: 3 ] HTML PDF Cite this article

Overview of research on air combat target trajectory prediction technology based on machine learning

Liu Haoyu;Shen Xin;Guo Zhengyu;Zhao Guohong;

Target trajectory prediction is regarded as a core technology in air combat confrontation and precision strike， which can effectively enhance battlefield situational awareness and combat effectiveness. In complex and dynamic environments， traditional methods are often insufficient to meet the requirements of real-time performance and accuracy. With the exponential growth of confrontation data， machine learning-based intelligent algorithms are introduced as new solutions for trajectory prediction. From the perspectives of method categorization， technical principles， and representative studies， mainstream machine learning methods—including regression models， time series models， statistical learning models， probabilistic graphical models， clustering models， and Gaussian mixture models—are systematically reviewed regarding their applications in air combat target trajectory prediction. Combined with the characteristics of air combat scenarios， the advantages， disadvantages， and applicable conditions of these methods are compared. Furthermore， potential research directions are outlined to provide references for the future development of trajectory prediction technology.

Online First Publication Date (Accepted Manuscript):2026-06-30 18:10:52 ; 国家自然科学基金（U2341224）; 河南省自然科学基金（252300420393）
[Downloads: 96 ] [Citations: 0 ] [Reads: 89 ] HTML PDF Cite this article

Multi-to-multi interception guidance law in active defense scenarios for carrier aircraft based on situation function and GC-MADDPG

Yang Dengfeng;Luo Sheng;Qin Chen;Qiao Hao;He Wenkai;

This paper addresses the cooperative guidance problem for multiple low-speed weakly-maneuverable inferior interceptors cooperatively intercepting multiple high-speed highly-maneuverable superior targets in active defense scenarios of aerial platforms. A cooperative guidance law based on an interception situation function and Group Critic Multi-agent Deep Deterministic Policy Gradient (GC-MADDPG) is proposed. First， an interception situation quantification function is established by comprehensively considering multiple factors， including the cooperative interception success rate of the interceptor group， interception angle， time-to-go， lateral acceleration， field-of-view angle， and target threat level， thereby providing quantitative evaluation metrics for guidance law design. Second， the GC-MADDPG method is proposed. By introducing group Critic and local Critic networks， this method maximizes the overall cooperative interception success rate while ensuring that each interceptor satisfies its own constraints. Simulation results demonstrate that the proposed MMCIG guidance law exhibits strong robustness and adaptability， and achieves significant improvements over the conventional Proportional Navigation Guidance (PNG) law in terms of overall interception success rate， miss distance， and acceleration demand.

Online First Publication Date (Accepted Manuscript):2026-06-30 16:40:21 ;
[Downloads: 56 ] [Citations: 0 ] [Reads: 95 ] HTML PDF Cite this article

Research on emergency rescue by unmanned aerial vehicles in low-altitude environments during wartime

Yan Wei;Fei Chen;Ou Liting;Xia Lei;Zhao Tianyu;

In the modern battlefield environment， traditional search and rescue methods are inefficient and risky. Drones， with their advantages of strong maneuverability， low cost， and zero casualties， have become the key to breaking through obstacles and reconstructing the wartime rescue system. Based on this， this paper first analyzes the current research status of drone emergency rescue at home and abroad， then systematically constructs a drone emergency rescue system in the low-altitude environment during wartime， covering four core stages: communication network support， search and reconnaissance， rescue environment assessment， medical material delivery， and casualty evacuation. It proposes a judgment process for the allocation of medical material delivery and casualty evacuation at the end of the rescue mission， and further analyzes the key technologies in this system. Finally， it looks forward to the future development of drone emergency rescue in the low-altitude environment. The aim is to provide a reference for the research and practical application of unmanned and lightweight battlefield rescue systems.

Online First Publication Date (Accepted Manuscript):2026-06-30 15:26:42 ;
[Downloads: 106 ] [Citations: 0 ] [Reads: 80 ] HTML PDF Cite this article

more>>

Summary of the Technological Development of Overseas Hypersonics in the Past Ten Years

Zhang Can;Wang Yilei;Ye Lei;Beijing Institute of Aerospace Technology;

Hypersonic vehicle technology is setting off a new wave of competition worldwide. Through comprehensively combing the development of foreign hypersonic vehicle technology since 2010,the general progress and development direction are analyzed. From the aspect of hypersonic missile technology and reusable platform technology,which are two major application directions in hypersonic,the technological progress and development trend of the major countries and regions in the world are summarized and analyzed in terms of strategic plan,funding resources,research projects,test progress and key technologies.

Issue 06 ,2020 No.204 ;
[Downloads: 5,352 ] [Citations: 142 ] [Reads: 727 ] HTML PDF Cite this article

Research on Small Target Detection Based on Deep Learning

Liu Xiaonan;Wang Zhengping;He Yuntao;Liu Qian;

Aimed at the target detection,especially the small target detection problem,the development and current status of the target detection algorithm are summarized; the research progress of the target detection algorithm based on deep learning is systematically summarized; the advantages and disadvantages of two-stage and single-stage detection algorithms and their detection performance are analyzed in terms of accuracy and speed. The typical data sets in the field of small target detection are combed as a reference,and the improved algorithm on the small target detection problem is analyzed. The detection accuracy and speed are improved,and obtaining the balance of them,which becomes the direction and challenge of small target detection improvement. Finally,the prospects and predictions of target detection based on deep learning are made,which provides a reference for small target detection.

Issue 01 ,2019 No.193 ;
[Downloads: 4,113 ] [Citations: 120 ] [Reads: 612 ] HTML PDF Cite this article

An Overview of the Development of Adaptive Kalman Filtering

Fu Zheng1,Wang Shuman2,Liu Bingjie3(1.Navy Military Deputy Office Residence In The Third Research Institute,Beijing 100074,China;2.Naval Academy of Armament,Beijing 100161,China;3.Navy Submarine Academy,Qingdao 266071,China)

The development of adaptive Kalman filtering(AKF) is overviewed.Several approaches of AKF are discussed: correlation AKF,multiple model AKF,AKF based on innovation,neural network AKF,and fuzzy logic AKF.The main questions are solved respectively by them.At last,the direction of AKF is presented.

Issue 06 ,2009 No.138 ;
[Downloads: 4,486 ] [Citations: 114 ] [Reads: 524 ] HTML PDF Cite this article

Overview of the development of foreign military UAV systems and technology in 2023

Jin Yu;Gu Quanxiang;

With the advancement of technology and innovation in applications, foreign military UAVs have made remarkable development in 2023. Military UAVs have shown intelligent and diversified development trends in terms of new research systems, in-service improvements and key technology research.According to the disclosure time sequence, the new research systems in foreign countries are classified and summarized from UCAV, integrated inspection and strike drones, solar drones, hypersonic drones, small tactical drones, loitering munitions, etc. The improvement of active drones in military powers such as the United States and the United Kingdom, as well as the development of key technologies in foreign drones, are summarized and analyzed.It is summarized the development trends of intelligent, collaborative, and low-cost platforms in foreign drone systems.

Issue 01 ,2024 No.223 ;
[Downloads: 7,215 ] [Citations: 114 ] [Reads: 642 ] HTML PDF Cite this article

3D Printing Technology and Its Appication in Aerospace Industry

Tan Lizhong;Fang Fang;Beijing Institute of Aerospace Information;Beijing Software Testing & QA Center;

In order to further clarify the latest progress of 3D printing technology in the field of foreign aerospace,the qualitative research method,such as analysis and synthesis,induction and deduction,is used to systematically collect,collate and analyze the latest developments in the foreign 3D printing technology research,platform research and industry standardization. And the latest application of 3D printing technology in the field of foreign aerospace is systematically summarized. Based on analysis,the policy environment for the development and application of 3D technology keeps optimizing,the application of 3D printing in the area of aerospace extends from components and parts level to complete machine level,and the application depth of 3D printing tends to front-end use.

Issue 04 ,2016 No.178 ;
[Downloads: 4,731 ] [Citations: 107 ] [Reads: 484 ] HTML PDF Cite this article

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Overview of science and technology development in artificial intelligence in 2021

Han Yu;Han Congying;

In order to study the current situation of foreign development in the field of artificial intelligence(AI) and judge its development trend, a summary review and comprehensive commentary is conducted on the science and technology development of AI in 2021 of major countries and regions, such as the United States, Russia and Europe. The development of foreign AI in 2021 is summarized from three aspects of strategic planning, basic research and military applications. It implies that world's major countries continue to deepen the national strategy of artificial intelligence and accelerate the research and development of artificial intelligence; the developing paths of machine intelligence, humanoid intelligence, group intelligence and human-machine hybrid intelligence technology are clear and important results are achieved; the application of cutting-edge technology in artificial intelligence in military fields continues to refine, including air warfare,naval warfare, cyber and electronic warfare and intelligence analysis. In 2021, the results of the basic research and military application in various fields of AI are frequently produced. The world's military intelligence technology has entered a new round of high-speed development period.

Issue 02 ,2022 No.212 ;
[Downloads: 9,807 ] [Citations: 54 ] [Reads: 710 ] HTML PDF Cite this article

Overview of the development of foreign military UAV systems and technology in 2023

Jin Yu;Gu Quanxiang;

Issue 01 ,2024 No.223 ;
[Downloads: 7,215 ] [Citations: 114 ] [Reads: 642 ] HTML PDF Cite this article

Analysis of UAV deployment in Russia-Ukraine conflict

Yang Jiahui;Zhu Chaolei;Xu Jia;

The Russia-Ukraine conflict is another example of high-intensity unmanned offensive and defensive confrontation after the Libyan civil war in recent years. It is summarized the background and current situation of the conflict between Russia and Ukraine. Based on open source intelligence information, the deployment and application of UAVs on both sides of the war is summarized. Analysis is put forward in terms of combat intention, combat effectiveness, and confrontation situation. Strong combat effectiveness at all stages of the future battlefield can only be obtained by continuously strengthening local research and development capabilities and improving the pedigree of unmanned equipment, so as to adapt to the challenges brought by the strong confrontation environment.

Issue 03 ,2022 No.213 ;
[Downloads: 6,853 ] [Citations: 100 ] [Reads: 470 ] HTML PDF Cite this article

An overview on development of domestic and foreign anti-UAV technology

Qiu Xiaojian;Luo Boya;Fu Zhen;Tan Xiang;Xiong Chao;Jiangxi Institute of Civil Military Integration;

Against the backdrop of rapid development of UAV technology, it brings convenience to production and daily life, while it also poses threats to security and privacy. As a result, anti-UAV technology has gradually gained worldwide attention and importance. In order to study the current application and development of anti-UAV technology at home and abroad, the key technologies of anti-UAV are systematically analyzed. The current development status of the field is summarized. The main challenges faced by existing technologies are revealed. A forward-looking analysis on future technological trends are provided. With the development and application of emerging technologies such as artificial intelligence, future anti-UAV technology will further be developed towards intelligence, lightweight and integration.

Issue 05 ,2024 No.227 ;
[Downloads: 6,724 ] [Citations: 45 ] [Reads: 1028 ] HTML PDF Cite this article

Overview of the development of foreign military UAV systems and technology in 2021

Zhu Chaolei;Yuan Cheng;Yang Jiahui;Kang Guowei;Chinese Aeronautical Establishment;

Since 2021, foreign advanced military UAV systems have made major technological breakthroughs in many fields and technologies.The latest progress of military UAV systems and technology in2021 in terms of unmanned loyal wingman, air-launched and vertical take-off and landing UAV, aerial refueling drone is summarized. The significant development tendency of the US and other military powerful countries is analyzed. The foreign military focuses on cutting-edge unmanned combat forces, while capability verification and model development are carried out, in order to evolve the current unmanned equipment systems in a short term, thereby expand the complexity of future air battlefields.

Issue 01 ,2022 No.211 ;
[Downloads: 5,789 ] [Citations: 94 ] [Reads: 533 ] HTML PDF Cite this article

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Tactical Missile Technology

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About the Journal

Analysis and insights on the application of artificial intelligence technology in the U.S.-Israel-Iran conflict

Research on the employment of precision strike weapons in the 2026 U.S.-Israel-Iran conflict

Application and operational analysis of unmanned aerial vehicles in the U.S.-Israel-Iran conflict

Design of dynamic requirement generation architecture for equipment system based on large language models

Investigation of flow control of synthetic jets under dynamic stall of airfoils

Research on task allocation for radar counter-reconnaissance based on rolling window-adaptive hybrid chaotic particle swarm optimization

Tactical knowledge-driven evolutionary algorithm for multi-agent encirclement combat in complex battlefield environments

Overview of research on air combat target trajectory prediction technology based on machine learning

Multi-to-multi interception guidance law in active defense scenarios for carrier aircraft based on situation function and GC-MADDPG

Research on emergency rescue by unmanned aerial vehicles in low-altitude environments during wartime

Summary of the Technological Development of Overseas Hypersonics in the Past Ten Years

Research on Small Target Detection Based on Deep Learning

An Overview of the Development of Adaptive Kalman Filtering

Overview of the development of foreign military UAV systems and technology in 2023

3D Printing Technology and Its Appication in Aerospace Industry

Overview of science and technology development in artificial intelligence in 2021

Overview of the development of foreign military UAV systems and technology in 2023

Analysis of UAV deployment in Russia-Ukraine conflict

An overview on development of domestic and foreign anti-UAV technology

Overview of the development of foreign military UAV systems and technology in 2021

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