In this study Track Before Detect (TBD) approach will be analysed for tracking of dim moving
targets. First, a radar setup is presented in order to introduce the radar range equation and
signal models. Then, preliminary information is given about particle filters. As the main
algorithm of this thesis, a multi-model particle filter method is developed in order to solve
the non-linear non-Gaussian Bayesian estimation problem. Probability of target existence
and RMS estimation accuracy are defined as the performance parameters of the algorithm for
very low SNR targets. Simulation results are provided and performance analysis is presented
as a conclusion.
| Identifer | oai:union.ndltd.org:METU/oai:etd.lib.metu.edu.tr:http://etd.lib.metu.edu.tr/upload/12614155/index.pdf |
| Date | 01 February 2012 |
| Creators | Sabuncu, Murat |
| Contributors | Demirekler, Mubeccel |
| Publisher | METU |
| Source Sets | Middle East Technical Univ. |
| Language | English |
| Detected Language | English |
| Type | M.S. Thesis |
| Format | text/pdf |
| Rights | To liberate the content for public access |
Page generated in 0.0016 seconds