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Department of Electronic & Electrical Engineering, Unit Catalogue 2009/10


EE40136: Terrestrial and space-borne remote sensing and satellite navigation systems

Click here for further information Credits: 6
Click here for further information Level: Masters
Click here for further information Period: Semester 1
Click here for further information Assessment: EX 100%
Click here for further informationSupplementary Assessment: Like-for-like reassessment (where allowed by programme regulations)
Click here for further information Requisites: Before taking this unit you must take EE30120
Description: or equivalent.
Aims:
To provide an overview of the evolution, current status and possible future development of active and passive remote sensing systems.

Learning Outcomes:
On successful completion of this unit students will be able to:
(i) describe the main features of active and passive remote sensing systems;
(ii) make first order calculations for radar and radiometer systems;
(iii) be familiar with rudimentary remote sensing analysis procedures;
(iv) demonstrate an understanding of Navigation signals for remote sensing.

Skills:
Elementary system design and data analysis, taught, facilitated and assessed.

Content:
Review of the Earth's neutral and ionised atmosphere. Fundamental concepts of Radiometry. Blackbody and non-blackbody radiation, concept of brightness temperature. Basic theory of radiative transfer, concepts of extinction and emission. Microwave interaction with atmospheric constituents: gaseous absorption, extinction and backscattering from hydrometeors, emission from clouds and rain. Analysis of radiometer systems: total power, unbalanced and balanced (noise injection) Dicke switched systems. Fundamentals of real and synthetic aperture radar systems. Passive radar. Ambiguity functions. Principles of pulse compression. Fundamentals of radar polarimetry. Principles and applications of atmospheric and ionospheric measurements using remote sensing techniques. Satellite navigation systems: introduction, overview and applications in remote sensing, signal processing for filtering and details of atmospheric and ionospheric sensing algorithms.
NB. Programmes and units are subject to change at any time, in accordance with normal University procedures.