Active Contour Extraction Method for Objects with a Rough Surface using Single-chip FMCW Radars

Dilyan Damyanov, Benedikt Friederich, Thorsten Schultze, Ingolf Willms, Rahmi Salman, Jan Barowski, Ilona Rolfes

IEEE Radar Conference (RadarConf), pp. 854-857, Philadelphia, Pennsylvania, MAY 2-6, 2016


Abstract

In this paper a method for contour extraction of objects with a high degree of surface roughness in the range of 60 GHz Radar is presented. The proposed algorithm is based on an active contour model (snake) with external forces called component normalized gradient vector flow (CN-GVF). The snake algorithm extracts the contour of the object under test (OUT) based on wavefront Radar imaging methods. Experimental validations were performed with two fully integrated wideband frequency modulated continuous-wave (FMCW) single-chip Radar transceivers with an operational band from 57 GHz to 64 GHz, a corner cube retroreflector and a target object with a high degree of surface roughness.

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