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Particle Filter Based Track Before Detect Algorithm For Tracking Of Dim Moving Targets

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.

Identiferoai:union.ndltd.org:METU/oai:etd.lib.metu.edu.tr:http://etd.lib.metu.edu.tr/upload/12614155/index.pdf
Date01 February 2012
CreatorsSabuncu, Murat
ContributorsDemirekler, Mubeccel
PublisherMETU
Source SetsMiddle East Technical Univ.
LanguageEnglish
Detected LanguageEnglish
TypeM.S. Thesis
Formattext/pdf
RightsTo liberate the content for public access

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