Motion Parameter Estimation of Low Flying UAV using Acoustic Sensor

Abstract

The field of acoustics is emerging as a significant supplementary modality that should be investigated and utilized in the development of intelligence and surveillance systems. These systems often depend on technology that is rooted in the singularity of electromagnetic fields. Acoustic sensors are preferred because of their affordability, robustness, and small size. They are also passive. Furthermore, sound energy can go beyond a line of sight. The current scenario can be used to the detection and localization of sound sources utilizing Unmanned Aerial Vehicle (UAV) and ground-based Acoustic Sensors. An acoustic sensor placed on the ground detected the target's immediate frequency.An Acoustic Sensor above the ground generates Doppler altered frequency time records to determine flight characteristics. The Acoustical Doppler Effect causes the instantaneous frequency perceived to fluctuate on a straight-line trajectory with constant velocity.The Nelder-Mead technique is used to estimate the low flying UAV's motion characteristics based on the instantaneous frequency model.