An Approach to Radar and Infrared Target Tracking Fusion

In this article, we explore the integration of radar and infrared target tracking technologies to enhance tracking accuracy and efficiency. We analyze the strengths and limitations of both technologies and investigate how they can complement each other to achieve more precise target tracking. From an implementation perspective, we'll discuss fusion algorithms such as Kalman filtering for data correlation and coordinate transformation methods to align sensor data. Additionally, we examine practical application challenges including environmental adaptation techniques for varying conditions and interference signal processing approaches using digital signal processing (DSP) methods. The article provides useful references and suggestions for researchers in related fields, with specific considerations for real-time implementation constraints and sensor calibration requirements. We hope this discussion offers valuable insights and practical guidance for research and implementation in this domain.