Study On Polarization Optimization Method Of Radar Transmitter And Receiver Based On Optimal Estimation And Detection

In recent years, along with the rapid development of the radar system technology, more and more scholars pay more attention on polarimetric information collecting and processing technology. In this paper, how to design optimal transmitter and receiver polarization based on targets and environment is investigated for improving capacity of estimation, detection and classification in clutter environment, which has a strong theoretical and practical significance in radar technology development.This article includes three sections, as follows:In the first section, radar transmitter and receiver polarization optimization design methodology is investigated based on optimal estimation. First, measurement model for radar target signal is introduced. Then, considering Minimum Cramer-Rao Low Bound as design rules for polarimetric scattering matrix estimation, optimal radar transmitter and receiver polarization is derived. Finally, the simulation demonstrates the improvement of estimation precision by optimal radar transmitter and receiver polarization.In the second section, radar transmitter and receiver polarization optimization design is investigated based on optimal detection. First, measurement model for radar target is established. Then, polarimetric detection algorithms are respectively designed for random target and certain target, and the capacity of which are derived, and optimal transmitter and receiver polarization is designed by maximizing detection probability. Finally, the optimal polarization could improve target detection probability dramatically through simulation experiment.In the third section, optimization method of radar polarimetric detection is studied in Non-Gaussian clutter. First, the typical Non-Gaussian clutter models are analyzed. Then, optimal detection structure is designed under Compound-Gaussian distribution, the capacity of which is derived, and optimal transmitter polarization is designed by maximizing signal-clutter energy ratio. Finally, the simulation experiment shows that the detection capacity is improved distinctly as using optimal polarization detection structure.In conclusion, the whole dissertation is summarized, main work and innovation points are presented, and directions of this field in future are discussed.