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Adaptive CA-CFAR thresholding based on an optimal number of reference cells
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Paper Abstract

Recently the direct TOF Lidar receivers employ cell averaging constant false alarm rate (CA-CFAR) technique to determine the threshold for the reflected pulses. CA-CFAR locally estimates the mean level of the noise from a predefined interval. The length of this interval is determined by a fixed number of reference cells. CA-CFAR with small number of reference cells fails to detect long distance objects. Conversely, setting reference cells to a large number can’t resolve closely spaced objects even at short distances. This paper presents an adaptive CA-CFAR adaptively determining the optimal number of reference cells. Simulation results show the capability of the proposed method to do both detecting long distance objects and resolving closely spaced objects at short distances.

Paper Details

Date Published: 12 November 2019
PDF: 5 pages
Proc. SPIE 11197, SPIE Future Sensing Technologies, 111970W (12 November 2019); doi: 10.1117/12.2542715
Show Author Affiliations
Ali Massoud, Huawei Technologies Co., Ltd. (Canada)
Zhiping Jiang, Huawei Technologies Co., Ltd. (Canada)
Hongbiao Gao, Huawei Technologies Co., Ltd. (China)
Yilun Zhou, Huawei Technologies Co., Ltd. (China)
Riliang Su, Huawei Technologies Co., Ltd. (China)
Hong Wang, Huawei Technologies Co., Ltd. (China)
Li Zeng, Huawei Technologies Co., Ltd. (China)


Published in SPIE Proceedings Vol. 11197:
SPIE Future Sensing Technologies
Masafumi Kimata; Christopher R. Valenta, Editor(s)

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