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TRACK-BEFORE-DETECT OF WEAK BALLISTIC TARGET USING ELLIPTICAL HOUGH TRANSFORM

机译:使用椭圆霍夫变换进行轨迹检测弱弹靶

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A track-before-detect (TBD) algorithm based on elliptical Hough transform (EHT) is presented for jointly detecting and tracking weak ballistic targets during its exoatmospheric flight. The new method makes use of the fact that the ballistic target follows the elliptical orbit when restricted to two-body problem. The relationship between raw radar measurements in the data space and the elliptical parameters in the parameter space is established with coordinate transformations. The EHT detection algorithm is designed and the orbit planarity is also considered to reduce the noise accumulation effect. The detection performances related to primary and second thresholds and signal-to-noise ratio (SNR) are analyzed and verified through simulations. The advantage of the new method lies in it can not only detect and track weak ballistic targets but also can predict the impact point by using available parameters.
机译:基于椭圆霍夫变换(EHT)的轨道前检测(TBD)算法用于共同检测和跟踪其助剂飞行期间的弱弹靶。新方法利用了弹道目标在限制为双体问题时遵循椭圆轨道。建立了在坐标变换中建立了数据空间中的原始雷达测量与参数空间中的椭圆参数之间的关系。设计了EHT检测算法,并且还考虑了轨道平面度以降低噪声累积效果。通过仿真分析和验证与初级和第二阈值和信噪比(SNR)相关的检测性能。新方法的优点在于它不仅可以检测和跟踪弱的弹道目标,还可以通过使用可用参数来预测冲击点。

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