Guoqiang Sun
ABSTRACT
Abstract—With the development of science and technology, aviation is becoming increasingly important in people's life. However, aviation safety cannot be guaranteed without radar detection, and aviation managers have to keep track of the distance, direction, and altitude of each aircraft to avoid accidents. Furthermore, as a large-scale integrated electronic device, the radar will inevitably fail and its downtime maintenance will have a considerable impact on target detection. Anair-traffic control radar usually has a hot backup to ensure that the radar will continue to implement its mission in the event of a failure, which has achieved satisfactory results. However, a hot backup design is based on the fact that the primary and backup devices are in operation. In the event of a failure, the backup device will continue to work, and this strategy may cause both the primary and backup devices to fail. Although it is very unlikely that both devices would fail at the same time, simultaneous operation of both devices will inevitably shorten their service lives, especially the service lives of rotating components such as fans. Therefore, to meet the high reliability requirement for a radar, it is necessary to realize a redundancy design to develop a solution for autonomously switching on and off the redundant devices based on the radar status. To address this challenge, the present study systematically describes the radar status prediction management system and functional self-healing design. Simulation tests show that the functional self-healing design based on status prediction can effectively improve the reliability of a radar, thus fully demonstrating the feasibility of the functional self-healing feature in a radar system design.
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Index Terms
- Functional self-healing design of radars based on status prediction
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