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UWE Bristol Engineering showcase 2015

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Abigail Dalby<br />

MEng Aerospace <strong>Engineering</strong> (Systems)<br />

Project Supervisor<br />

Pritesh Narayan<br />

Extending the Range of a Unmanned Aerial Vehicle (UAV) without the<br />

use of a Satellite<br />

Satellites are primarily used because of the range that can be achieved, allowing communication with the vehicle from the other side of<br />

the world. The main disadvantage being the cost of setting up a satellite system and maintaining the satellite system, this can cause a<br />

few hours use of the satellite to cost thousands of pounds. High network latency due to the distance the data has to travel is also a<br />

problem and also the need for specialised satellite terminals to communicate with the satellite.<br />

The original idea for this project came from using the mobile network to control<br />

the UAV. One of the most widely available networks is the mobile network; this<br />

can be access in most countries around the world. Originally developed primarily<br />

for transmitting voice (1G) currently includes 2G EDGE & GPRS, 3G and 4G. Each<br />

standard provides different bandwidths and ranges. This idea was extended to<br />

include WIFI as a way to improve the bandwidth.<br />

System Design<br />

The system design is based on UK<br />

regulation and research into<br />

communication bandwidths. The<br />

communications methods chosen<br />

were WIFI, mobile network work<br />

and creating a fully autonomous<br />

system for when the UAV is<br />

outside communications range.<br />

Autonomy Level and Range<br />

The bandwidth required to operate<br />

in different autonomy levels along<br />

with the ranges calculated from the<br />

case study give an overview of how<br />

the system would operate.<br />

Network<br />

Technology<br />

Case Study<br />

A case study of the WIFI standard 802.11g<br />

was built. Data rates are achieved with<br />

varying modulation types. The model was<br />

used to evaluate the BER (Bit Error Rate) of<br />

the transmission. The link budget<br />

calculation was applied and ranges<br />

compared with bandwidth available.<br />

Upload Speed<br />

(Mbps)<br />

Download Speed<br />

(Mbps)<br />

EE<br />

4G 3.1 9.2<br />

3G 0.4 2.5<br />

O2<br />

4G 3.6 9.8<br />

3G 0.4 2<br />

3<br />

4G 5.2 8.4<br />

3G 0.7 3.4<br />

Vodafone<br />

4G 2.2 11.2<br />

3G 0.3 2.2<br />

T-Mobile 2G 0.236 0.236<br />

Bandwidth (Mbps)<br />

60<br />

50<br />

40<br />

30<br />

20<br />

10<br />

0<br />

Physical<br />

Layer<br />

ERP-<br />

DSSS<br />

ERP-<br />

OFDM<br />

ERP-<br />

PBCC<br />

DSSS-<br />

OFDM<br />

Range vs Bandwidth<br />

Range (m)<br />

Use<br />

Data Rate (Mbps)<br />

Mandatory 1, 2, 5.5, 11<br />

Mandatory 6, 9, 12, 18, 24, 36, 48, 54<br />

Optional 1, 2, 5.5, 11, 22, 33<br />

Optional 6, 9, 12, 18, 24, 36, 48, 54<br />

Project summary<br />

The main aim of this project is to design a<br />

system that can extend the range of the UAV<br />

without the use of a satellite. It will primarily<br />

focused on the communication between the<br />

UAV and the operator. This project<br />

investigates the advantages and<br />

disadvantages of using wireless existing<br />

infrastructures (for example the mobile<br />

network), building a new infrastructure and<br />

using autonomous flight to allow the UAV to<br />

travel beyond the range of the operator.<br />

Project Objectives<br />

• Research regulations around flying a UAV<br />

in up airspace and investigate the impact<br />

this will have on the design of the system.<br />

• Select a method for implementing<br />

different autonomy levels and the data<br />

rates required for each mode.<br />

• Produce a case study proving the<br />

feasibility of the different communication<br />

methods for between the ground station<br />

and the UAV.<br />

Project Conclusion<br />

• The project was proven to be feasible<br />

however much more work is needed on<br />

the hardware side.<br />

• All of the numbers are theoretical and<br />

therefore need to be proven to be close to<br />

real world values.<br />

• A combination of 4 layer of autonomy will<br />

be needed to achieve the maximum range.

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