Micromotion Parameter Extraction of Precession Cone Based on Analytical Solution in Monostatic Radar

IF 5.7 2区 计算机科学 Q1 ENGINEERING, AEROSPACE IEEE Transactions on Aerospace and Electronic Systems Pub Date : 2024-10-22 DOI:10.1109/TAES.2024.3485033
Hang Yuan;Ying Luo;Yi-Jun Chen;Jia Liang;Ying-Xi Liu;Kai-Ming Li
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Abstract

The micro-Doppler (M-D) effect of radar targets reflects target motion, providing valuable information for recognition. Micromotion parameter extraction of cone targets based on the M-D effect is one of the research focuses in antimissile. However, the analytical solution of micromotion parameters has not been proposed in the existing M-D theory of the precession cone. This basic problem hinders improving the micromotion parameter extraction performance of the precession cone. To solve this problem, the analytical solution of micromotion parameters is derived. First, a scalar observation model for precession cone targets is proposed. Compared with the existing vector observation model, the complexity of the scalar observation model is greatly reduced. Then, based on the scalar observation model, the M-D properties of cones are explored and the analytical solutions for micromotion parameters are derived. The M-D frequency shift curve of the fin contains four frequency components, and the micromotion parameters can be extracted by substituting the amplitudes of the four frequency components into the analytical solution. Experiments with simulated data and measured data verify the effectiveness of the algorithm.
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基于单静态雷达分析法的前倾锥体微动参数提取
雷达目标的微多普勒效应反映了目标的运动,为识别提供了有价值的信息。基于M-D效应的圆锥目标微动参数提取是反导领域的研究热点之一。然而,在现有的进动锥M-D理论中,还没有提出微运动参数的解析解。这一基本问题阻碍了进动锥微运动参数提取性能的提高。为了解决这一问题,导出了微运动参数的解析解。首先,提出了进动锥目标的标量观测模型。与现有的矢量观测模型相比,标量观测模型的复杂度大大降低。然后,基于标量观测模型,探讨了锥体的M-D特性,推导了锥体微动参数的解析解。翅片的M-D频移曲线包含4个频率分量,将4个频率分量的幅值代入解析解即可提取微动参数。仿真数据和实测数据验证了该算法的有效性。
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来源期刊
CiteScore
7.80
自引率
13.60%
发文量
433
审稿时长
8.7 months
期刊介绍: IEEE Transactions on Aerospace and Electronic Systems focuses on the organization, design, development, integration, and operation of complex systems for space, air, ocean, or ground environment. These systems include, but are not limited to, navigation, avionics, spacecraft, aerospace power, radar, sonar, telemetry, defense, transportation, automated testing, and command and control.
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