基于伪频谱的双基地雷达探测前跟踪

IF 5.3 1区 工程技术 Q1 ENGINEERING, AEROSPACE Chinese Journal of Aeronautics Pub Date : 2024-01-01 DOI:10.1016/j.cja.2023.08.021
Tao HAN , Gongjian ZHOU
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引用次数: 0

摘要

先跟踪后检测(TBD)是雷达探测昏暗目标的一种有效方法。传统的 TBD 通常遵循目标的近似运动模型,这可能会导致目标能量积分不准确。本文开发了一种基于混合坐标伪频谱的 TBD 技术,该技术采用了双稳态雷达系统的精确运动模型。根据精确描述笛卡尔匀速运动的非线性函数,得出双稳态极坐标面上的预测位置。然后,围绕预测位置制定伪频谱,并将其样本累积到积分框架进行能量积分。对状态的演变和目标能量的积累过程进行了详细推导。通过一些模拟,证明了所提方法的优越性能。
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Track-before-detect for bistatic radar based on pseudo-spectrum

Track-Before-Detect (TBD) is an efficient method to detect dim targets for radars. Conventional TBD usually follows an approximate motion model of the target, which may cause an inaccurate integration of the target energy. A TBD technique on basis of pseudo-spectrum in mixed coordinates adopting an accurate motion model for bistatic radar system is developed in this paper. The predicted position in bistatic polar plane is derived according to a nonlinear function that exactly describes the constant Cartesian velocity motion. Then around the predicted position, a pseudo-spectrum is formulated and its samples are accumulated to the integration frame for energy integration. The evolution of the state and the procedure of accumulation of the target energy are derived elaborately. The superior performance of the proposed method is demonstrated by some simulations.

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来源期刊
Chinese Journal of Aeronautics
Chinese Journal of Aeronautics 工程技术-工程:宇航
CiteScore
10.00
自引率
17.50%
发文量
3080
审稿时长
55 days
期刊介绍: Chinese Journal of Aeronautics (CJA) is an open access, peer-reviewed international journal covering all aspects of aerospace engineering. The Journal reports the scientific and technological achievements and frontiers in aeronautic engineering and astronautic engineering, in both theory and practice, such as theoretical research articles, experiment ones, research notes, comprehensive reviews, technological briefs and other reports on the latest developments and everything related to the fields of aeronautics and astronautics, as well as those ground equipment concerned.
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