scholarly journals Penerapan Unmanned Aerial Vehicle (UAV) untuk Pengukuran Kuat Sinyal (Drive Test) pada Jaringan 4G LTE

AVITEC ◽  
2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Faisal Ahmad Ilham Nuari ◽  
Uke Kurniawan Usman ◽  
AT Hanuranto
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Normal Condition ◽  
Traffic Congestion ◽  
Performance Indicator ◽  
Signal To Noise Ratio ◽  
Reference Signal ◽  
Average Value ◽  
Aerial Vehicle ◽  
Narrow Road ◽  
4G Lte

The work to get data directly from the field for optimizing a network is called drive test. The implementation of drive test by directly down to the field has several obstacles, such as the condition of the terrain is insufficient and risky to be passed by car. Barriers such as traffic congestion, risky environmental conditions and narrow road areas between buildings makes the implementation of drive test by using unmanned aerial vehicle (UAV) or known by drone. In this research, drive test is carried out on 4G LTE Network and uses an Android smartphone that has the G-NetTrack application installed. The Data parameters of the drive Test and QoS are searched. there are Reference Signal Receive Power (RSRP), Reference Signal Receiving Quality (RSRQ), Signal to Noise Ratio (SNR), delay and throughput. This research compares two methods, which are drive test with normal condition and drive test by using a UAV. The result of the drive test with normal condition is obtained an average value of RSRP -90.32 dBm, RSRQ -9.58 dB and SNR 3.99 dB. Whereas in the drive test by using UAV is obtained an average value RSRP -90.8 dBm, RSRQ 9.32 dB and SNR 4.77 dB. The results of this research showed that all parameters in comparison of both methods has meet the standard of Key Performance Indicator (KPI) with small value difference because drive test by using UAV is equals with normal drive test that is to know the real condition of obstacle in field.

scholarly journals Synthesis of algorithm of unmanned aerial vehicle detection by acoustic noise

Doklady BGUIR ◽  
2021 ◽  
Vol 19 (2) ◽  
pp. 65-73
Author(s):  
A. D. Puzanau ◽  
D. S. Nefedov
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Acoustic Noise ◽  
Signal To Noise Ratio ◽  
Weather Conditions ◽  
Wind Noise ◽  
Detection Range ◽  
Detection Systems ◽  
A Value ◽  
Coherent Accumulation ◽  
Aerial Vehicle

 The algorithm of detection of acoustic noise provided by an unmanned aerial vehicle (UAV) in the noise background due to wind is synthesized in the article. Creation of the algorithm has been carried out using the Neyman – Pearson lemma. The algorithm assumes a combination of the stages of wind noise coherent compensation and coherent accumulation of UAV’s acoustic noise sound pressure impulses. The coherent accumulation time matches doubled time of fluctuation correlation resulted by experimental research of acoustic noise of different types of  UAVs. Efficiency of the developed algorithm of UAV detection depends on flight velocity, foreshortening, amount of blades and rotor turnovers of UAV as well as weather conditions. For the probability of a false alarm value of 10–4, the probability of correct UAV detection value of 0.9 is provided wherein signal-to-noise ratio has a value of 8 dB. These indicators correspond the detection range of 200 to 300 meters. The obtained results allow discussions about perspective of acoustic UAVs detection systems adaptation. 

scholarly journals Multirotor for Medical Aid Kit Transport

2019 ◽  
Vol 9 (2) ◽  
pp. 3314-3318 ◽  
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Traffic Congestion ◽  
Urban Areas ◽  
Release Mechanism ◽  
Aerial Robotics ◽  
Flight Tests ◽  
Medical Aid ◽  
Remote Areas ◽  
Medical Needs ◽  
Aerial Vehicle

The popularity of the multirotor or unmanned aerial vehicle (UAV) is rapidly growing in the field of aerial robotics. In fact, multirotor has now become a standard platform for robotics research worldwide and it has been increasingly used for various constructive purposes across several sectors. Traffic congestion in urban areas has caused a longer time to deliver medical aid kits to the accident sites. Many patients in remote areas with limited road access will need to travel further and consequently take a longer time to reach healthcare centers for their medical needs. In view of this situation, medical drones have the potential to resolve these problems. However, Malaysia has limited regulations and studies regarding the transportation of medical aid kits using multirotors. This study is conducted to develop a multirotor for deployment of medical aid kits. The proposed multirotor is a hexarotor, equipped with Pixhawk flight controller and payload release mechanism, known as NAMTOR 3. From the preliminary flight tests to assess the performance of NAMTOR 3, it has been found that NAMTOR 3 is stable during flight and ready for deployment.

Adaptive Control for Trajectory Tracking of an Unmanned Aerial Vehicle

2016 ◽  
Vol 17 ◽  
pp. 101-110 ◽  
Author(s):  
Hamed Mortazavi Nasab ◽  
Naser Navazani
Keyword(s):  
Adaptive Control ◽  
Unmanned Aerial Vehicle ◽  
Normal Condition ◽  
Trajectory Tracking ◽  
Parametric Uncertainty ◽  
Roll Angle ◽  
Minimum Error ◽  
Kinematics Model ◽  
Aerial Vehicle ◽  
Family Based

In this paper, an unmanned aerial vehicle (UAV) with fixed-wing in normal condition flight, and fixed height, is considered and along with this process, kinematics model of UAV, assumed to have parametric uncertainty. In this situation the target of designing of proper controller family, based on switching logic, is to control the speed and roll angle of fixed-wing unmanned aerial vehicle in order to track desired path with minimum error. The desired path will be generated by trajectory maker block. The results of simulation on a fixed-wing UAV are presented to show the efficiency of the method.

Study on Fault Diagnosis of Planetary Gearbox in Unmanned Aerial Vehicle Using Multi sensor Data

2020 ◽  
Vol 20 (4) ◽  
pp. 332-342
Author(s):  
Hyung Jun Park ◽  
Seong Hee Cho ◽  
Kyung-Hwan Jang ◽  
Jin-Woon Seol ◽  
Byung-Gi Kwon ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Unmanned Aerial Vehicle ◽  
Sensor Data ◽  
Planetary Gearbox ◽  
Aerial Vehicle

Results of Spatial Structure of Atmosphere Radiation in a Spectral Range (1.5–2) µm Research

2018 ◽  
pp. 7-13
Author(s):  
Anton M. Mishchenko ◽  
Sergei S. Rachkovsky ◽  
Vladimir A. Smolin ◽  
Igor V . Yakimenko
Keyword(s):  
Spatial Structure ◽  
Unmanned Aerial Vehicle ◽  
Wavelength Range ◽  
Spectral Range ◽  
Near Ir ◽  
Optoelectronic Systems ◽  
Aerial Vehicle

Results of experimental studying radiation spatial structure of atmosphere background nonuniformities and of an unmanned aerial vehicle being the detection object are presented. The question on a possibility of its detection using optoelectronic systems against the background of a cloudy field in the near IR wavelength range is also considered.

Positioning the Angle of Attack Sensor on an Unmanned Aerial Vehicle Wing

2016 ◽  
Vol 3 (1) ◽  
pp. 25-33
Author(s):  
Amir Birjandi ◽  
◽  
Valentin Guerry ◽  
Eric Bibeau ◽  
Hamidreza Bolandhemmat ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Angle Of Attack ◽  
Aerial Vehicle
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