Simulation framework for activity recognition and benchmarking in different radar geometries

Radar micro-Doppler signatures have been proposed for human monitoring and activity classification surveillance outdoor security, as well ambient assisted living in healthcare-related applications. A known issue is the performance reduction when target moving tangentially to line of sight radar. Multiple techniques address this, such multistatic radar some extent, interferometric (IF) simulator presented generate synthetic data representative eight systems (monostatic, circular in-line [IM] IF) quantify performances a function aspect angles deployment geometries. This allows an unbiased evaluation different systems. Six activities are considered with originating from motion-captured 14 subjects. The analysed ranging 0° 90° per overall. It demonstrates that IF configurations more robust than IM configurations. However, performs better at below 55° before take over.