Strategies for Enhancing Command and Control Capabilities of Anti-UAV Cooperative Operations
Enhancing the command and control capabilities of anti-UAV cooperative operations is crucial for addressing modern UAV threats. This can be achieved by optimizing the efficiency of information fusion and command decision-making through the construction of information fusion systems, data transmission networks, and intelligent decision-making models; strengthening the effectiveness of cooperative combat organization by establishing efficient decision-making processes and improving cooperative command architectures; and continuously elevating the level of command and control for anti-UAV cooperative operations through the integration of intelligent technical means.
1 Optimizing the Information Fusion and Sharing Mechanism
In complex battlefield environments, a single information source can hardly fully and accurately reflect the battlefield situation. The fusion and sharing of multi-source information, however, can significantly improve the accuracy of situational awareness and the scientificity of decision-making. Therefore, optimizing the information fusion and sharing mechanism is the primary task for enhancing command and control capabilities.
1.1 Constructing a Multi-Source Information Fusion System
The core of multi-source information fusion lies in resolving issues related to the standardization of heterogeneous data and the spatiotemporal registration of different sensors [3]. It is essential to establish unified data standards and interface specifications, implement standardized processing of information acquired from various sensors and data sources, and improve data quality and consistency. A multi-source information fusion system should be constructed, utilizing advanced information fusion algorithms to achieve in-depth fusion of multi-source information, enhance the accuracy of target identification and tracking, and provide comprehensive and precise information support for command decision-making. Meanwhile, machine learning and deep learning technologies should be introduced to enable the system to automatically learn and adapt to different battlefield environments and target characteristics, thereby continuously optimizing the effectiveness of information fusion.
1.2 Improving the Efficiency and Quality of Information Processing
In anti-UAV operations, the battlefield situation changes rapidly, making the speed and accuracy of information processing critical. High-performance computing equipment should be deployed to accelerate information processing speeds; big data analysis technologies should be adopted to mine historical UAV flight data, pre-calibrate target risk levels, and provide references for real-time information processing. Parallel computing technologies such as distributed computing and edge computing should be employed to process data in a decentralized manner across multiple nodes, reducing the computational load on central nodes. Data cleaning and quality evaluation mechanisms need to be established to eliminate erroneous and redundant information and ensure the quality of input data. Additionally, adaptive filtering algorithms and dynamic weight allocation models should be developed to conduct real-time assessments of information accuracy, completeness, and timeliness, promptly removing incorrect or low-quality information. This further enhances the precision of information processing and provides reliable data support for command decision-making.
1.3 Constructing a Safe and Efficient Data Transmission Network
Constructing a stable, secure, and high-speed data transmission network is key to ensuring the accurate and timely transmission of data among various combat units. Efforts should be made to strengthen network security protection by introducing encryption algorithms and identity authentication mechanisms, safeguarding the security of the data transmission process, and preventing risks such as the leakage or theft of command information. Mobile 5G base stations should be deployed in combat areas, leveraging 5G communication technology to rapidly transmit detection data from radar, optoelectronic, navigation, and other sensors to the command center, while also promptly issuing command center decisions and instructions to combat units. Shortening information transmission time compresses the OODA operational cycle and improves operational response speed. Furthermore, multiple communication means such as data links and satellites should be integrated to build a redundant network and dynamic routing mechanism, with multiple data transmission links established. In the event of main link failures or interference, automatic switching to backup links can be achieved, enhancing network invulnerability and self-healing capabilities, and ensuring uninterrupted data transmission.
