临近空间高超声速跳跃滑翔式目标自适应跟踪模型

doi:10.7527/S1000-6893.2018.22355

Abstract

Abstract: To address the near space hypersonic jump gliding target tracking problem, an Adaptive Non-zero Mean Sine Wave (ANM-SW) model is proposed on the basis of modeling acceleration as a random process of Sine Wave (SW) autocorrelation. The core of the model is to compensate the mean SW and construct the ANM-SW model; in this process, the state equation of the model is derived. To further analyze the role of mean compensation with this model, the physical nature of adaptive non-zero mean value model is discussed from the perspective of time domain and frequency domain. Furthermore, the system dynamic errors of SW and ANM-SW models status update are deduced taking Kalman filter as the filtering algorithm. In this way, the superiority of ANM-SW model in maneuver adaptation is verified. Finally, the simulation experiments show that compared with SW model, ANM-SW model has certain advantages in tracking accuracy and maneuverability.

Key words: near space, target tracking, adaptive non-zero mean model, sine wave, Kalman filter, system dynamic error

CLC Number:

LI Fan, XIONG Jiajun. Adaptive tracking model for near space hypersonic jumping gliding target[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2018, 39(12): 322355-322355.

References

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Adaptive tracking model for near space hypersonic jumping gliding target

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