Global analysis of active defense technologies for unmanned aerial vehicle

Аннотация

This paper explores active defense for UAVs globally, with the main emphasis on detection and countermeasure technologies. Questionnaires were administered to 139 individuals in the USA, and the results were analyzed with the help of the Statistic Package for Social Sciences (SPSS), including reliability analysis, descriptive frequency, and regression analysis. The results concerning Hypothesis 1 concerning technological detection impact on the adequacy of UAV defense are the following. Analyzing the data, it was established that detection technology influences UAV defense significantly with F =12. 27 and a signification p, therefore, is less than 0,001. Total regression analysis showed that In relation to this aspect, the regression coefficient (b = 0. 292, p <. 001) shows that detection technology has a positive influence on UAV defense and accounts for 8. Two percent of the total aggregated variation across the defense effectiveness of the participating countries (R² = 0. 082) could solely be attributed to these potentates. Thus, the findings of The American Journal of Engineering and Technology 41 https://www.theamericanjournals.com/index.php/tajet The American Journal of Engineering and Technology Hypothesis 2 prove that countermeasure technology Threat Landscape also plays another major role in the defense of UAVs. Terrorists or rogue individuals' use of UAVs is a complex Analysis of variance for the model revealed that security threat. They can be used in spying, drug and technology used in countermeasures tremendously human trafficking, and even dropping explosives, which impacts UAV defense with F = 113. 465, and the makes them a proper tool for wrongdoers (Zhang et al., calculated p is less than 0. 000; hence, the findings are 2022). Moreover, the threat is not only in one drone; highly significant. Thus, the regression coefficient (b = large groups of UAVs can effectively break through 0.782, p < 0.000) indicates a significant contribution of traditional protection systems because of their countermeasure technology influencing the reduction coordinated and controllable actions. This has led to the rate, which amounts to 45 %. 14% of the variance in creation of highly advanced defense systems that can UAV defense effectiveness gives a coefficient of detect UAVs and distinguish them from other objects to determination of 0.453. Based on these findings, eliminate them in real time (Strohmeier et al., 2020). developing detection and countermeasure Active Defense Technologies technologies are crucial to improving UAV defense systems. The research findings suggest that azimuth Anti-UAV systems are the technologies that detect, and elevation tracking and invariant pattern identify, and neutralize UAVs. Some technologies recognition technologies used in this system can be include radar, radio frequency, electro-optical/infrared enhanced to enhance the effectiveness of a UAV detection systems, acoustics, and advanced machine countermeasure system. learning for threat recognition (Raj et al., 2021). Detection and Identification Keywords: Countermeasure Technology, Detection Detection and identification are the key components of Technology, Unmanned Aerial Vehicle. combating threats related to UAVs. New technologies are being deployed that track small UAVs with a small radar cross-section, and there is R.F. detection tracking,