Abstract
Telemetry data is the important data for the ground station to obtain the working status and environmental parameters of the aircraft system. Its fusion processing is the key technology to select the best selection of multiple channels of data and improve the reliability and accuracy of the entire recording. Due to the large amount of telemetry data, there is a delay error in the transmission process, and the phenomenon of frame loss and code error is accompanied by severe challenges for the alignment and optimization of data fusion. The research starts from the application background of fusion technology, introduces and analyzes the characteristics of telemetry data and the difficulties of fusion technology; outlines the current alignment and optimization related research results and development process, according to engineering requirements and technical points, from real-time and after-event From the perspective, the alignment algorithms and quality evaluation algorithms involved are classified and analyzed in detail; finally, the shortcomings of the existing methods are summarized, and the future development direction is looked forward to provide references for related researchers.