A bio-inspired acoustic sensor system for UAS navigation and tracking

Rohan Kapoor, S. Ramasamy, A. Gardi, R. Sabatini
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引用次数: 9

Abstract

The concept of a bio-inspired navigation system using acoustic sensors is presented and various possible approaches for its effective integration in Remotely Piloted Aircraft Systems (UAS) are investigated. Acoustic sensors can have useful applications in UAS obstacle detection and localization, especially in Global Navigation Satellite System (GNSS) denied environments. Taking inspiration from echolocating mammals, especially bats, novel navigation techniques are presented employing both multistatic and monostatic acoustic sensors. Laboratory experiments are presented in which a small array of transmitters provides input data to a multilateration receiver. Based on the positive results of these initial experiments, various possible approaches are investigated for integration of the proposed echolocation techniques in a multi-sensor UAS Navigation and Guidance System (NGS) and in an Acoustic Laser Obstacle Avoidance (ALOA) system for Separation Assurance and Collision Avoidance (SA&CA).
一种用于无人机导航和跟踪的仿生声学传感器系统
提出了一种基于声传感器的生物导航系统的概念,并研究了将其有效集成到遥控飞机系统中的各种可能方法。声学传感器在无人机障碍物检测和定位中具有重要的应用价值,特别是在全球导航卫星系统(GNSS)恶劣环境中。受回声定位哺乳动物(尤其是蝙蝠)的启发,提出了一种采用多静态和单静态声学传感器的新型导航技术。在实验室的实验中,一个小阵列的发射机提供输入数据到一个多倍体接收器。基于这些初步实验的积极结果,研究了将所提出的回声定位技术集成到多传感器无人机导航和制导系统(NGS)和用于分离保证和避免碰撞(SA&CA)的声激光避障(ALOA)系统中的各种可能方法。
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