Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Types of Global Positioning System Surveys

Types of Global Positioning System Surveys

GPS surveying methods vary in application, accuracy, and data collection techniques, catering to diverse surveying and mapping needs. Static GPS, kinematic GPS, and real-time kinematic (RTK) surveying are widely used. Each technique offers distinct advantages.Static GPS involves placing one receiver at a known reference point and another at the target point. It collects exact positional data by observing multiple satellite ranges over an extended period, achieving centimeter-level accuracy for...

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device

Surveyors use Global Positioning System (GPS) technology to measure the precise location and elevation of points on Earth. In a recent survey, GPS receivers were used to determine the coordinates and elevations of two park monuments. The process involved careful mission planning, data collection, and correction to ensure accuracy. The survey began with mission planning to identify optimal satellite visibility and minimize Position Dilution of Precision (PDOP). A geodetic control point...

Field Application of Global Positioning System

Field Application of Global Positioning System

The Global Positioning System (GPS) has become an indispensable tool in fieldwork, offering unparalleled precision and efficiency for surveying, navigation, and infrastructure development. By harnessing signals from a constellation of satellites, GPS receivers determine the location of objects with remarkable speed and accuracy, often completing calculations within a second.Advantages of Modern GPS TechnologyContemporary GPS receivers are designed to meet the practical demands of field...

Introduction to Global Positioning System

Introduction to Global Positioning System

The Global Positioning System (GPS) revolutionized positioning on Earth, providing precise location data through satellite ranging. The GPS system was developed in 1978 by the U.S. Department of Defense for military use, and it became available for civilian applications in 1983, transforming fields including navigation, fleet management, and time synchronization for telecommunications systems.GPS consists of satellites in medium Earth orbit, about 20,200 kilometers above the surface,...

Errors in Global Positioning System

Errors in Global Positioning System

Global Positioning System (GPS) technology has revolutionized navigation and positioning, but its accuracy is often compromised by various errors. These errors, stemming from environmental, satellite, and receiver-related factors, require careful mitigation to ensure reliable performance across applications.Atmospheric ErrorsGPS signals travel through the Earth’s ionosphere and troposphere, introducing delays which affect accuracy. The ionosphere is strongly influenced by charged particles,...

Electronic Distance Measuring Instruments

Electronic Distance Measuring Instruments

Electronic Distance Measuring Instruments (EDMs) are essential tools in modern surveying, offering precise distance measurements by emitting electromagnetic signals and calculating the time required for these signals to travel to a target and return. Two primary types of signals are used in EDMs — light waves and microwaves — each suited to specific environmental and distance requirements. Light-wave-based EDMs utilize either infrared or laser light, providing high accuracy over short...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Deep Learning-Based Automatic Modulation Classification for OFDM Signals: From Synthetic Training to OTA Evaluation.

Sensors (Basel, Switzerland)·2026

Same author

Mission-Critical Services in 4G/5G and Beyond: Standardization, Key Challenges, and Future Perspectives.

Sensors (Basel, Switzerland)·2025

Same author

Voice Quality Evaluation in a Mobile Cellular Network: In Situ Mean Opinion Score Measurements.

Sensors (Basel, Switzerland)·2024

Same author

SpaceWire-to-UWB Wireless Interface Units for Intra-spacecraft Communication Links.

Sensors (Basel, Switzerland)·2023

Same author

Prediction of Electric Power Production and Consumption for the CETATEA Building Using Neural Networks.

Sensors (Basel, Switzerland)·2022

Same author

Predictive Energy-Aware Routing Solution for Industrial IoT Evaluated on a WSN Hardware Platform.

Sensors (Basel, Switzerland)·2022

Search research articles

Related Experiment Video

Updated: Jun 26, 2025

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation

Published on: February 1, 2020

Experimental Evaluation of an SDR-Based UAV Localization System.

Cristian Codău¹, Rareș-Călin Buta¹, Andra Păstrăv¹

¹Communications Department, Technical University of Cluj-Napoca, 28 Memorandumului Street, 400114 Cluj-Napoca, Romania.

Sensors (Basel, Switzerland)

|May 11, 2024

Summary

This study implements the MUSIC algorithm on a software-defined radio (SDR) system for drone localization. The system accurately determines the angle of arrival (AoA) of drone signals, crucial for tracking and control.

Keywords:

MUSIC algorithm SDR UAV communications angle of arrival direction-finding localization signal processing uniform circular array

More Related Videos

Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization

Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization

Published on: August 27, 2021

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Published on: November 26, 2019

Related Experiment Videos

Last Updated: Jun 26, 2025

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation

Published on: February 1, 2020

Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization

Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization

Published on: August 27, 2021

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Published on: November 26, 2019

Area of Science:

Electrical Engineering
Signal Processing
Aerospace Engineering

Background:

The proliferation of Unmanned Aerial Vehicles (UAVs), particularly drones, has led to increased concerns regarding illicit activities.
Effective localization and tracking of drones are essential for security and control.
Radio frequency (RF)-based localization techniques, especially subspace algorithms, offer high accuracy for determining signal source positions.

Purpose of the Study:

To implement and experimentally evaluate the MUSIC algorithm on a Software-Defined Radio (SDR) platform for drone localization.
To assess the system's capability in determining the Angle of Arrival (AoA) of target drone signals in outdoor environments.

Main Methods:

Implementation of the MUSIC algorithm using a uniform circular antenna array on an SDR system.
Experimental deployment in outdoor environments to capture real-world drone communication signals.
Comparison of obtained AoA results with drone application log files and a professional direction-finding solution (Narda SignalShark).

Main Results:

The implemented SDR-based system successfully indicated the Angle of Arrival (AoA) of the target drone signal.
Experimental results demonstrated the system's capability in a practical outdoor setting.
Validation against professional equipment confirmed the accuracy of the MUSIC algorithm's localization performance.

Conclusions:

The MUSIC algorithm, implemented on an SDR platform with a uniform circular antenna array, is a viable and accurate method for drone localization.
The system's ability to determine AoA is crucial for developing effective drone detection and tracking systems.
Further research can explore advanced algorithms and array configurations for enhanced drone monitoring capabilities.