In this thesis, an adaptive waveform selection technique for dynamic target tracking under low signal-to-noise ratio (SNR) conditions is investigated. The approach is integrated with a track-before-detect (TBD) algorithm and uses delay-Doppler matched filter (MF) outputs as raw measurements without setting any threshold for extracting delay-Doppler estimates. The particle filter (PF) Bayesian sequential estimation approach is used with the TBD algorithm (PF-TBD) to estimate the dynamic target state.
Download count: 0
- Partial requirement for: M.S., Arizona State University, 2011Note typethesis
- Includes bibliographical references (p. 60-62)Note typebibliography
- Field of study: Electrical engineering