Carleton University
Cramer-Rao Lower Bound Derivation and Performance Analysis for Space-Based SAR SMTI
Abstract
dc:description.abstractThis thesis develops the Cram ́er-Rao Lower Bound (CRLB) for multi-channel space- borne synthetic aperture radar (SAR) system and provides surface moving target in- dication (SMTI) performance analysis. A multi-channel moving target signal model is derived in satellite earth-fixed earth-centered coordinate system. This model is used in space-time adaptive processing (STAP) approaches for SMTI. A statistical model of the received signal is formed using the derived deterministic target signal, and gaus- sion distributions for noise and clutter. CRLBs for the statistical model and target parameters are derived by solving the derivatives and verified using numerical methods. CRLB is then used to analyse the SMTI performance of RADARSAT-2, RADARSAT constellation mission (RCM) satellite, and a proposed satellite called “TestSAT”, un- der a variety of switching/toggling modes.
Degree
thesis:*- Name thesis:degree_name
- Master of Applied Science (M.App.Sc.)
- Level thesis:degree_level
- Master's
- Discipline thesis:degree_discipline
- Engineering, Electrical and Computer
- Grantor dc:publisher
- Carleton University
- Year dc:date.issued
- 2016
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Rashid, Mamoon
Rights
dc:rights- Statement dc:rights
-
- Copyright © 2016 the author(s). Theses may be used for non-commercial research, educational, or related academic purposes only. Such uses include personal study, research, scholarship, and teaching. Theses may only be shared by linking to Carleton University Institutional Repository and no part may be used without proper attribution to the author. No part may be used for commercial purposes directly or indirectly via a for-profit platform; no adaptation or derivative works are permitted without consent from the copyright owner.
- Language dc:language.iso
- en
Identifiers
dc:identifier.*- OAI identifier oai:identifier
- oai:carleton.scholaris.ca:20.500.14718/38902