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EE50238: Autonomous systems navigation, guidance and communications

[Page last updated: 23 October 2023]

Academic Year: 2023/24
Owning Department/School: Department of Electronic & Electrical Engineering
Credits: 6 [equivalent to 12 CATS credits]
Notional Study Hours: 120
Level: Masters UG & PG (FHEQ level 7)
Period:
Semester 2
Assessment Summary: EX 100%
Assessment Detail:
  • Examination (EX 100%)
Supplementary Assessment:
Like-for-like reassessment (where allowed by programme regulations)
Requisites:
Learning Outcomes: Design, validate and critically appraise navigation, guidance and communication for autonomous systems (EP3, DF2)
Compare, contrast and evaluate practical techniques for the navigation, guidance and communication for autonomous systems (EP1, EP2, ET5, SM1)
Apply a range of established and new techniques for the navigation, guidance and communication for autonomous systems(ET6, DF1, EA2, EA3, SM2, SM3)


Aims: To introduce students to the key elements of navigation, guidance and communication for autonomous systems
To introduce key concepts required for understanding, designing and critically appraising navigation, guidance and communication for autonomous systems
To provide key skills for implementing navigation, guidance and communication for autonomous systems.

Skills: Numeracy: Design digital systems (T,F,A)
Using IT effectively: Simulators and design tools (T,F,A)
Research and Analysis: evaluating designs critically (T,F,A)
Independent Working (T, F, A)
Problem Solving (T, F,A)

Content: Navigation: GPS, GNSS, Real time kinematics, sensor fusion, visual systems
Guidance: Magnetic systems, 9DOF sensors, path following, waypoint planning
Communciation: Telemetry links, aerial specification, simple networks, hardware for autonomous systems communication, satellite communciations.

Course availability:

EE50238 is Compulsory on the following courses:

Department of Computer Science Department of Electronic & Electrical Engineering

EE50238 is Optional on the following courses:

Department of Computer Science
  • RSCM-AFM51 : Integrated PhD Accountable, Responsible and Transparent Artificial Intelligence
  • RSCM-APM51 : Integrated PhD Accountable, Responsible and Transparent Artificial Intelligence
  • TSCM-AFM51 : MRes Accountable, Responsible and Transparent Artificial Intelligence
  • TSCM-AFM52 : MSc Accountable, Responsible and Transparent Artificial Intelligence

Notes:

  • This unit catalogue is applicable for the 2023/24 academic year only. Students continuing their studies into 2024/25 and beyond should not assume that this unit will be available in future years in the format displayed here for 2023/24.
  • Courses and units are subject to change in accordance with normal University procedures.
  • Availability of units will be subject to constraints such as staff availability, minimum and maximum group sizes, and timetabling factors as well as a student's ability to meet any pre-requisite rules.
  • Find out more about these and other important University terms and conditions here.