ELEC ENG 7002 - Kalman Filtering & Applications

North Terrace Campus - Semester 1 - 2016

The course information on this page is being finalised for 2016. Please check again before classes commence.

The Kalman Filter: Stochastic state-variable systems; Optimality criteria for the estimation of state variables; The maximum-likelihood solution for independent Gaussian noise processes; The innovations sequence; The least-squares Kalman filter; Systems with correlated noise processes; Stochastic systems with time-invariant coefficients; The square-root algorithm; The extended Kalman filter, Adaptive system identification.

  • General Course Information
    Course Details
    Course Code ELEC ENG 7002
    Course Kalman Filtering & Applications
    Coordinating Unit School of Electrical & Electronic Engineering
    Term Semester 1
    Level Postgraduate Coursework
    Location/s North Terrace Campus
    Units 3
    Contact Up to 42 hours
    Available for Study Abroad and Exchange Y
    Assumed Knowledge Linear algebra (matrices), probability theory, linear systems & MATLAB
    Course Description The Kalman Filter: Stochastic state-variable systems; Optimality criteria for the estimation of state variables; The maximum-likelihood solution for independent Gaussian noise processes; The innovations sequence; The least-squares Kalman filter; Systems with correlated noise processes; Stochastic systems with time-invariant coefficients; The square-root algorithm; The extended Kalman filter, Adaptive system identification.
    Course Staff

    Course Coordinator: Professor Peng Shi

    Email: peng.shi@adelaide.edu.au
    Phone: 8313 6424
    Course Timetable

    The full timetable of all activities for this course can be accessed from Course Planner.

  • Learning Outcomes
    Course Learning Outcomes
    At the completion of this course students will be able to:

    1. Have some fundamental knowledge of Kalman filtering
    2. Understand the properties and structure of Kalman filter
    3. Know how to design Kalman filter for simple practical cases
    4. Be familiar with basic target tracking theory and its applications.
    University Graduate Attributes

    No information currently available.

  • Learning Resources
    Required Resources
    There are no required resources; lecture notes will be available on the MyUni website.
    Recommended Resources
    • A New Approach to Linear Filtering and Prediction Problems/ R. E. Kalman.
    • Stochastic Models, Estimation, and Control/ P. S. Maybeck.
    • An Introduction to the Kalman Filter/ G. Welch and G. Bishop
    • Kalman Filtering with Its Real-Time Applications/ C. K. Chui and G. Chen
    • Kalman Filtering: Theory and Application / edited by H.W. Sorenson.
    • Kalman Filtering Techniques for Radar Tracking / K.V. Ramachandra.
    • Optimal Filtering / B.D. O. Anderson, J.B. Moore.
    Online Learning
    Extensive use will be made of the MyUni web site for this course, https://myuni.adelaide.edu.au/webapps/login 

    Course notes, tutorial problems, project requirements, course schedule, group list and a practice exam will all be available for downloading from the website.

    Tutorial solutions will NOT be available online

    Where the lecture theatre facilities permit, audio or video recordings of lectures will also be available for downloading.
  • Learning & Teaching Activities
    Learning & Teaching Modes

    No information currently available.

    Workload

    No information currently available.

    Learning Activities Summary

    No information currently available.

  • Assessment

    The University's policy on Assessment for Coursework Programs is based on the following four principles:

    1. Assessment must encourage and reinforce learning.
    2. Assessment must enable robust and fair judgements about student performance.
    3. Assessment practices must be fair and equitable to students and give them the opportunity to demonstrate what they have learned.
    4. Assessment must maintain academic standards.

    Assessment Summary
    There are two assignments during this course, and a final exam at the end of the semester.
    Assessment Related Requirements
    For this course, the minimum exam mark requirement is 40%.
    Assessment Detail
    Each assignment will be counted 15% of the total score of this course. 

    The final exam will be counted 70% of the total score of this course.
    Submission

    No information currently available.

    Course Grading

    Grades for your performance in this course will be awarded in accordance with the following scheme:

    M10 (Coursework Mark Scheme)
    Grade Mark Description
    FNS   Fail No Submission
    F 1-49 Fail
    P 50-64 Pass
    C 65-74 Credit
    D 75-84 Distinction
    HD 85-100 High Distinction
    CN   Continuing
    NFE   No Formal Examination
    RP   Result Pending

    Further details of the grades/results can be obtained from Examinations.

    Grade Descriptors are available which provide a general guide to the standard of work that is expected at each grade level. More information at Assessment for Coursework Programs.

    Final results for this course will be made available through Access Adelaide.

  • Student Feedback

    The University places a high priority on approaches to learning and teaching that enhance the student experience. Feedback is sought from students in a variety of ways including on-going engagement with staff, the use of online discussion boards and the use of Student Experience of Learning and Teaching (SELT) surveys as well as GOS surveys and Program reviews.

    SELTs are an important source of information to inform individual teaching practice, decisions about teaching duties, and course and program curriculum design. They enable the University to assess how effectively its learning environments and teaching practices facilitate student engagement and learning outcomes. Under the current SELT Policy (http://www.adelaide.edu.au/policies/101/) course SELTs are mandated and must be conducted at the conclusion of each term/semester/trimester for every course offering. Feedback on issues raised through course SELT surveys is made available to enrolled students through various resources (e.g. MyUni). In addition aggregated course SELT data is available.

  • Student Support
  • Policies & Guidelines
  • Fraud Awareness

    Students are reminded that in order to maintain the academic integrity of all programs and courses, the university has a zero-tolerance approach to students offering money or significant value goods or services to any staff member who is involved in their teaching or assessment. Students offering lecturers or tutors or professional staff anything more than a small token of appreciation is totally unacceptable, in any circumstances. Staff members are obliged to report all such incidents to their supervisor/manager, who will refer them for action under the university's student’s disciplinary procedures.

The University of Adelaide is committed to regular reviews of the courses and programs it offers to students. The University of Adelaide therefore reserves the right to discontinue or vary programs and courses without notice. Please read the important information contained in the disclaimer.