A Compressed Sensing-based imaging system

Generating high resolution images is one of the most important capabilities of imaging systems for security applications. To achieve this goal, electrically large apertures are required, thus involving a large number of measurement samples or receivers, which leads to long acquisition times. Compressed Sensing techniques are one way to reduce the number of samples required for accurate image reconstruction. This contribution describes a multistatic millimeter wave radar imaging system which has been improved using Compressed Sensing, simplifying the imaging system design and fabrication. Performance of the system is validated by means of simulation-based examples as well as by experimental measurements.