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12 November 2019 Adaptive CA-CFAR thresholding based on an optimal number of reference cells
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Proceedings Volume 11197, SPIE Future Sensing Technologies; 111970W (2019)
Event: SPIE Future Sensing Technologies, 2019, Tokyo, Japan
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.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ali Massoud, Zhiping Jiang, Hongbiao Gao, Yilun Zhou, Riliang Su, Hong Wang, and Li Zeng "Adaptive CA-CFAR thresholding based on an optimal number of reference cells", Proc. SPIE 11197, SPIE Future Sensing Technologies, 111970W (12 November 2019);


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