# The UWB Radar Application in the Aviation Security Systems
## 1 Introduction  
The International Air Transport Association (IATA) emphasizes that security and safety are key priorities for IATA and its member airlines. IATA calls on governments to continue working with the aviation industry to develop appropriate measures for current emerging trends. While IATA recognizes that aviation security is the responsibility of governments and that industry must meet the needs of competent authorities to act immediately in the event of an imminent security threat or vulnerability, it also considers it an effective partnership between the government and industry making the air transport system the safest and most secure form of long-distance travel [1]. Therefore, it is very timely to address the challenges of increasing aviation security using UWB technology. In recent years, there has been a relatively large demand for the development of UWB sensor systems. These systems are used in the field of non-destructive testing and in industrial areas [2, 3, 4, 5]. In specific applications, UWB sensor systems are used as Ground Penetrating Radar [6, 7], to locate and search for people behind obstacles and walls [8, 9], to locate general objects or robots [10], in the field of non-invasive diagnostics and detection in medicine [11, 12, 13], and also in the automotive industry [14]. They are heavily involved in the development of frequently discussed solutions called Internet of Things and Industry 4.0. UWB devices have a wide application. In [15], the authors present the possibilities of creating algorithms for processing UWB radar signals in the case of detection and localization of static people and monitoring of basic parameters of their vital functions. The author of [16] presents hardware components of UWB radars, methods of processing UWB radar signals, and selected applications of these UWB systems in the field of security and medicine. The authors of [17] describe UWB technology for locating and tracking therobot behind obstacles in an industrial environment. The developed UWB radar signal processing algorithms make it possible to improve the tracking of targets in a complex industrial environment, which will contribute to the safe orientation of the robot in this environment. In [18], the possibilities of tracking moving persons by UWB radars are analyzed, and a comprehensive description of the effect of mutual shielding of persons is given. The authors also present three possible approaches to suppress the impact of this effect and increase the accuracy of tracking moving people. The authors of [19] present algorithms for processing UWB radar signals in tracking static and moving people. Using the experiment, the authors verified the possibility of tracking a moving person behind an obstacle formed by the wall of the building. In [20], the authors presented a new approach to target localization, which is based on the addition and combination of time of arrival algorithms (TOA) in combination with a conventional method of direct calculation. The created algorithms were verified for the localization of one moving person behind the wall. In [21], a synthesis of algorithms for human motion recognition using UWB technology was performed. The created algorithms enable the recognition of the movement of several people. These algorithms were tested on a sample of 15 people. The authors state that the accuracy of determining the motion parameters was 97%. In [22], a synthesis of the tracking system of persons was performed based on the use of information from the inertial navigation system and the UWB system. Such a comprehensive tracking system achieves 85% less error in determining a person's position compared to an inertial navigation system. At present, much attention is being paid the ultra-wideband (UWB) multi-input multi-output (MIMO) radar technique, which plays an important role in the application of through-wall detection due to its high resolution and efficient data recording.