Radar Target Detection Method through Spatial Voxelization in Complex Indoor Environment

This paper is about a method for extracting the target point of a signal received from a radar sensor through spatial voxelization in an indoor environment with many metal objects such as partitions, PCs, and monitors. Radar sensors are widely used in autonomous driving, sensor data convergence, etc., and various methods have been studied to find the reference point of the radar sensor. The conventional method was to measure a signal in a calibration room without any objects or to find a reference point using a plurality of corner reflectors. However, we propose a method of voxelizing a space with a single corner reflector in a complex environment and extracting an accurate target point with only a specific range of RCS(Radar Cross Section) values. The validity of the proposed algorithm was verified through experiments and analysis in various locations, and it was confirmed that it was effective.