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A new range-spread target detection algorithm for missile-borne wideband radar

机译:一种新型机载宽带雷达测距目标检测算法

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摘要

A new range-spread target detection algorithm in white Gaussian clutter for missile-borne radar is presented. For missile-borne radars, range migration of the target echoes during a coherent processing interval is serious, which disperses the echo energy of the target and increases the difficulty for target detection. In the paper, range alignment for target echoes is accomplished in the frequency domain during the process of digital pulse compression. Then, a range-spread detection algorithm based on the waveform entropy of the average combination of high range resolution profiles (HRRPs) is addressed, which has the property of constant false-alarm rate. Finally, the detection performance of the algorithm is assessed by Monte-Carlo simulation, and the result indicates that the detection performance of the proposed detector is superior to the traditional energy integrator and is robust for different HRRPs of the target.
机译:提出了一种新的白高斯杂波导弹目标雷达测距目标检测算法。对于导弹雷达,在相干的处理间隔内目标回波的距离迁移很严重,这会分散目标的回波能量并增加目标检测的难度。在本文中,目标回波的距离对准是在数字脉冲压缩过程中的频域中完成的。然后,提出了一种基于高分辨分辨率轮廓(HRRPs)平均组合的波形熵的范围扩展检测算法,该算法具有恒定的误报率。最后,通过蒙特卡洛仿真对算法的检测性能进行了评估,结果表明所提出的检测器的检测性能优于传统的能量积分器,并且对目标的不同HRRP具有鲁棒性。

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