Paopat Ratpunpairoj, Waree Kongprawechnon, "A Robust Waveform Design for Targets Tacking in Cognitive MIMO Radars," WSEAS Transactions on Signal Processing, vol. 14, pp. 115-124, 2018, DOI:
Paopat Ratpunpairoj, Waree Kongprawechnon. A Robust Waveform Design for Targets Tacking in Cognitive MIMO Radars.
WSEAS Transactions on Signal Processing. 2018;14:115-124.
WSEAS Transactions on Signal Processing
Print ISSN: 1790-5052, E-ISSN: 2224-3488
Volume 14, 2018
A Robust Waveform Design for Targets Tacking in Cognitive MIMO Radars
Authors: ,
Abstract: An adaptive waveform is optimized in order to maximize the information returned from the targets, then the targets informaion is approximated by using a particle filter. This study propose a method to due with the uncertainties due to the dynamics of the targets, e.g., when the number of moving targets is unknown and changing over time. Thus, A decay constant is added to the estimated prior target information before optimizing the waveform by minimizing Cram´er-Rao Lower Bound. Jeffreys prior is used to weight the parameters of each targets. Furthermore, the dynamic state space of the targets is estimated by a particle filter. Finally, the simulation results demonstrate the capability of the system to track targets.
Pages: 115-124 WSEAS Transactions on Signal Processing, ISSN / E-ISSN: 1790-5052 / 2224-3488, Volume 14, 2018, Art. #15 DOI: *As the DOI is a unique identifier, it is already available in the pdf version.
**The DOI link will be activated in the first midst of January 2026.
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