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An Aircraft-Centered Multi-Frame TBD Method for Airborne Radar Systems

机译:一种用于机载雷达系统的飞机中心多帧TBD方法

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It is widely verified that the multi-frame track-before-detect (MF-TBD) is effective for the detection and tracking of weak targets. This paper considers the extension of MF-TBD to moving surveillance platform, specifically, the airborne radar system. For static radars, MF-TBD needs to first map the received raw data to an absolute coordinate, mostly the WGS-84 coordinate, and then perform the raw data integration between multi-frame to accumulate target energy along physically feasible states. The time-varying surveillance space and biased complex coordinate system conversion, caused by the aircraft motion, produce the unaligned multi-frame mapping. It brings the cell misalignment and dislocation error that contribute to the challenge of the tracking accuracy in the absolute coordinate. To address these limitations, the proposed aircraft-centered multi-frame TBD (AC-MF-TBD) method adopts the concept of relative kinematics making the aircraft as the center of each measurement frame and doing raw data integration in this relative coordinate, namely the inertial coordinate. It makes the mapping no longer time-varying and develops the tracking accuracy on the airborne radar. AC-MF-TBD essentially avoids the errors introduced by the aircraft motion in the absolute coordinate. In addition, the coordinate conversion using the attitude information of the aircraft is still a necessary process for AC-MF-TBD. The attitude angle calibration is used to improve the conversion accuracy. The simulation shows the performance of the proposed algorithm.
机译:广泛验证了多帧轨道前检测(MF-TBD)对于弱目标的检测和跟踪是有效的。本文考虑了MF-TBD的延伸,以便移动监控平台,具体地,空中雷达系统。对于静态雷达,MF-TBD需要首先将接收的原始数据映射到绝对坐标,大多数是WGS-84坐标,然后在多帧之间执行原始数据集成,以沿着物理可行状态累积目标能量。由飞机运动引起的时变监视空间和偏置复杂坐标系转换产生未对齐的多帧映射。它带来了对绝对坐标中的跟踪精度的挑战有助于挑战的细胞未对准和错位误差。为了解决这些限制,所提出的飞机中心的多帧TBD(AC-MF-TBD)方法采用相对运动学的概念,使飞机成为每个测量帧的中心并在该相对坐标中进行原始数据集成,即惯性坐标。它使映射不再有时间变化,并在机载雷达上开发跟踪精度。 AC-MF-TBD基本上避免了通过绝对坐标中的飞机运动引入的错误。此外,使用飞机的姿态信息的坐标转换仍然是AC-MF-TBD的必要过程。姿态角度校准用于提高转换精度。模拟显示了所提出的算法的性能。

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