Reconstruction and Flight Attitude Estimation of Rocket HRRP Based on Truncated Mixture of Gaussians Model

With the rapid development of commercial spaceflight, the demand for rocket flight attitude estimation based on external measurement data is becoming increasingly urgent. This paper, based on an in-depth study of the characteristics of High-Resolution Range Profiles (HRRP) of rockets, employs a truncated mixed Gaussian model based on the idea of parametric representation to complete the reconstruction of rocket HRRP. This approach achieves rocket flight attitude estimation under two conditions: with and without a template library. Tests using simulated HRRP sequences and actual flight HRRP sequences demonstrate that the reconstructed HRRP sequences have the advantages of high signal-to-noise ratio and strong stability. By employing methods such as multi-envelope detection, range template matching, and length projection, stable implementation of rocket flight separation detection and attitude estimation based on HRRP data is achieved.