An Adaptive Decision Method for Microwave Photonic Radar Intermodulation in Intelligent Perception

In recent years, the rapid development and the advanced technology of China's high-speed railways have attracted worldwide attention. With the increasing scale of the construction of high-speed railways, the characteristics of significant climate differences and complex terrain along the high-speed railways become more prominent, and emergencies such as slope deformation, rockfall from cutting slopes, and perimeter intrusion occur more frequently. Therefore, the real-time monitoring of environmental changes surrounding high-speed railways is significant in achieving independent and efficient train operation control. However, existing train environmental detection methods are challenging to combine the advantages of high penetration, large range, and high-precision imaging, leaving risks and hidden dangers for train operation safety. This paper uses the three-way decision based on intuitionistic fuzzy reasoning as the adaptive decision-making method for microwave photonic radar intermodulation in intelligent perception. The method schedules train radar detection range, power, and band resources in complex weather and terrain reasonably. Besides, a correction function for radar detection power is proposed for complex scenarios to meet the imaging needs of railways.