Acoustic Signals Based Drone Localization using Machine Learning

In this system,we introduce a drone surveillance system using acoustic arrays. A new TDOA estimation algorithm and a localization algorithm are proposed in order to localize and track the drone more accurately. Field experiments are conducted to verify the the effecti

Project Title

Acoustic Signals Based Drone Localization using Machine Learning

Project Area of Specialization

Wearables and Implantable

Project Summary

In this system,we introduce a drone surveillance system

using acoustic arrays. A new TDOA estimation algorithm

and a localization algorithm are proposed in order to localize

and track the drone more accurately. Field experiments are

conducted to verify the the effectiveness and the performance

of these methods. It proves that this system can localize and

track the drone effectively.

Project Objectives

In the project,we built a drones surveillances using acoustic arrays for drone localization and tracking. We propose a series of algorithms to improve the accuracy of localization and tracking. Three dimensional trajectory of the ?ying drone can be calculated

in real time. 

Project Implementation Method

In the project, the acoustic arrays are used to sample the

surrounding acoustic signal periodically and the processing

center is used to control acoustic signal sampling, to access

the data and to run the localization and tracking algorithms.

For this system, we proposed a series of new algorithms which

mainly include TDOA estimate algorithm based Gauss priori

probability and a high precision localization method for drone

localization.

Benefits of the Project

Drone survaillance using acoustic arrays, as a

promising drone surveillance system, could circumvent the

above limitations and be used to localize and track the

drone.

Technical Details of Final Deliverable

The project will consist of array of mics which will detect the acoustic signals and process it to the system where GPS module will detect the location of the system if Machine learning algorithm senses if the incoming wave is of drone while removing the noise. And also calculates the real-time distance and angle of the drone.

Final Deliverable of the Project

HW/SW integrated system

Type of Industry

Education , Agriculture , Transportation , Security

Technologies

Artificial Intelligence(AI), Wearables and Implantables

Sustainable Development Goals

No Poverty, Decent Work and Economic Growth, Industry, Innovation and Infrastructure

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com