Automatic optimization of sensor positioning for an airborne ultrasound imaging system

Airborne ultrasonic sensors are widely used in industry for detecting movement of targets and measuring their distances to the sensor. More complex object localization is usually done with optical systems, yet their application is limited. In this work an airborne ultrasound imaging system is developed, which reconstructs an image of the region-of-interest (ROI) with multiple objects. With further image processing, this system allows more sophisticated object localization. The proposed optimization method results in a sensor system with minimum number of sensors and improved sensor distribution for maximum coverage of the ROI and homogeneous performance.