Study On Array Optimization And Orthogonal Waveform Design For MIMO Radar

Multiple-Input-Multiple-Output(MIMO) radar system has many transmit and receive antennas, each transmit antenna sends different signals and these signals are orthogonal. The signals cannot form narrow beam in space, but wide beam. The receive antennas use match filters process the signals send by transmit elements, form transmit beam pattern after phase compensation, and gain transmit and receive beam pattern at the same time, so MIMO radar two-way pattern is formed. Because MIMO radar system uses orthogonal signals, it becomes a key problem of MIMO radar implement that how to design signals with low peak of sidelobes of auto-correlation and low peak of cross-correlation.In order to solve the problems of MIMO radar array optimization and orthogonal waveform design, this paper proposed a hybrid optimization algorithm, which not only using the character of global searching of genetic algorithm(GA), but also using the feature of local searching of iterate algorithm. An ideal MIMO radar pattern is obtained by optimizing array elements'positions and weights using this hybrid algorithm. What's more, by using MIMO radar equivalent pattern equation, the calculation is much reduced. When applying this algorithm in designing orthogonal waveform, signals with lower peak of sidelobes of auto-correlation(ASP) and lower peak of cross-correlation (CP) are obtained. These signals have better performance than the results of other papers.