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

电子电气工程与控制

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临近空间高超声速跳跃滑翔式目标自适应跟踪模型

李凡^1,2, 熊家军²

1. 空军预警学院研究生大队, 武汉 430019;
2. 空军预警学院预警情报系, 武汉 430019

收稿日期:2018-05-23 修回日期:2018-08-06 出版日期:2018-12-15 发布日期:2018-08-30
通讯作者: 熊家军 E-mail:jiajunxiong@yahoo.com.cn
基金资助:
国家"863"计划（2015AA7056045，2015AA8017032P）

Adaptive tracking model for near space hypersonic jumping gliding target

LI Fan^1,2, XIONG Jiajun²

1. Graduate Management Office, Air Force Early Warning Academy, Wuhan 430019, China;
2. Early Warning Intelligence, Air Force Early Warning Academy, Wuhan 430019, China

Received:2018-05-23 Revised:2018-08-06 Online:2018-12-15 Published:2018-08-30
Supported by:
National High-tech Research and Development Program of China (2015AA7056045, 2015AA8017032P)

摘要/Abstract

摘要： 针对临近空间高超声速跳跃式滑翔目标跟踪问题，在将加速度建模为具有正弦波（SW）自相关随机过程的基础上，提出一种自适应非零均值正弦波相关（ANM-SW）模型。其核心是对正弦波相关模型进行均值补偿构建ANM-SW模型，并推导了模型状态方程；为深入分析均值补偿的作用，分别从时域和频域的角度探讨了自适应非零均值模型的物理本质；此外，为进一步说明模型的适应性问题，结合Kalman滤波推导了SW及ANM-SW模型状态更新的系统动态误差，验证了ANM-SW模型在机动适应方面的优越性；最终仿真表明与SW模型相比，ANM-SW模型在跟踪精度及机动适应能力方面具有一定的优势性。

关键词: 临近空间, 目标跟踪, 自适应非零均值模型, 正弦波, Kalman滤波, 系统动态误差

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

中图分类号:

李凡, 熊家军. 临近空间高超声速跳跃滑翔式目标自适应跟踪模型[J]. 航空学报, 2018, 39(12): 322355-322355.

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

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主管单位：中国科学技术协会主办单位：中国航空学会北京航空航天大学

临近空间高超声速跳跃滑翔式目标自适应跟踪模型

Adaptive tracking model for near space hypersonic jumping gliding target

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