Human Target Localization Using Hough Transform and Doppler Processing

Human Target Localization Using Hough Transform and Doppler Processing
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使用霍夫变换和多普勒处理进行人体目标定位

DOI:
10.1109/lgrs.2016.2591585
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发表时间:
2016-08
期刊:
IEEE Geoscience and Remote Sensing Letter
影响因子:
--
通讯作者:
Xiyao Liu
Xiyao Liu
中科院分区:
其他
文献类型:
--
作者:
Yipeng Ding;Xiaoyi Lin;Kehui Sun;Xuemei Xu;Xiyao Liu

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本文提出了一种结合Hough变换和多普勒处理的多普勒雷达人体定位算法。首先应用Hough变换提取感兴趣的目标分量并实时估计其瞬时频率。然后,基于中频估计结果,通过多普勒处理合成目标运动轨迹。为了提高检测精度和鲁棒性,提出了一种广义线性Hough变换模型,该模型可以实现高维频率拟合以补偿非线性误差,同时保持较低的计算复杂度,便于实时处理。实验结果表明了该算法的有效性。
In this letter, a localization algorithm, which combines Hough transform and Doppler processing, is proposed for Doppler radar human sensing applications. The Hough transform is first applied to extract the interested target components and real-time estimate their instantaneous frequencies (IFs). Then, based on the IF estimation result, the target movement trajectories are synthesized by Doppler processing. To improve the detection accuracy and robustness, a generalized linear model is proposed for Hough transform, which can achieve highly dimensional frequency fitting to compensate the nonlinear error, meanwhile maintaining a low level of computational complexity for real-time processing. Experimental results are presented to illustrate the performance of the proposed algorithm.
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