Authors:
Chiemela Onunka
and
Glen Bright
Affiliation:
University of KwaZulu-Natal, South Africa
Keyword(s):
Error Performance, Radar Signal, Clutter Attenuation, Atmospheric Refraction.
Related
Ontology
Subjects/Areas/Topics:
Engineering Applications
;
Informatics in Control, Automation and Robotics
;
Intelligent Control Systems and Optimization
;
Optimization Problems in Signal Processing
;
Robotics and Automation
;
Signal Processing, Sensors, Systems Modeling and Control
;
System Modeling
Abstract:
Radar signal error performance was modelled in the presence of atmospheric refraction and clutter attenuation. The models presented in the paper exploited prior information on atmospheric refraction properties and conditions such as partial pressure, water vapour, atmospheric temperature and the associated clutter. The atmospheric properties and characteristics were used to model random and bias errors experienced in radar systems. Errors which were associated with azimuth, elevation and target velocity were considered in the performance analysis. Range resolution and Doppler resolution were key mechanisms which were implemented in the analysis of the radar signal error performance. The radar error performance was analysed using residual error, signal-to-clutter + noise ratio and thermal noise error. Errors from azimuth, elevation and target velocity were combined in investigating the total effect of errors in determining the desired signal-to-clutter + noise ratio. The results discu
ssed in the paper enhances target detection and tracking towards optimising the navigation system of autonomous and semi-autonomous robotic systems using radars.
(More)