Particle filter based track before detect algorithm for tracking of dim moving targets

Date

2012

Author

Sabuncu, Murat

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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.

Subject Keywords

Particle filtering.

URI

http://etd.lib.metu.edu.tr/upload/12614155/index.pdf
https://hdl.handle.net/11511/21349

Collections

Graduate School of Natural and Applied Sciences, Thesis