Waveform Optimization Design For MIMO Radar

MIMO radar is a new radar system which has been proposed in recent years. Because of its potential advantages, MIMO radar attracts widespread concern. This radar system using MIMO technology imports spatial diversity and waveform diversity, through which MIMO radar remarkably improves capabilities of target detection and parameter estimation compared with general phased-array radar. In general, the research of MIMO radar still remains theoretical analysis and experimental validation, this thesis puts the emphasis on the study of MIMO radar waveform design.Firstly a MIMO radar signal model is made, while the basic idea of MIMO radar and the characters of transmitter and receiver channel matrix are analyzed. Several waveform design methods are briefly introduced in order to lay the foundation for further research work.Then the thesis introduces a method of waveform design based on the beam-pattern synthesis, which uses a convex optimization algorithm to choose the signal correlation matrix for synthesizing a desired beam-pattern. On this basis, the thesis analyses a design method of M-phased random coding signal in the view of probability theory and a design method of low peak-to-average-power ratio signal based on cyclic optimization algorithm.Finally under the condition that the statistical properties of clutter is known, the thesis presents in detail space-time signal design method for MIMO radar based on mutual information and minimum mean-square error criteria. An optimized code is deduced. The simulations of different conditions show that the optimized space-time code has advantages of a strong clutter suppression capability and better target detection performance.