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Human Target Localization Using Hough Transform and Doppler Processing
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DOI：10.1109/LGRS.2016.2591585.png)
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Abstract
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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.
Keywords:
Doppler processing
Doppler radar
Hough transform
human sensing application
time-frequency analysis
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