Abstract:

In multiple-input multiple-output （MIMO） systems, the waveform optimization usually focuses on certain one other than the overall performance. A novel waveform design method is proposed to improve  MIMO radar’s overall performance of target detection and parameter estimation. In the proposed method, the waveform covariance matrix (WCM) is optimized under the three following constraints: improving target detection probability, lowering parameter estimation variance and suppressing sidelobe. Firstly, the equivalent formulas of detection probability and Cramer-Rao bound (CRB) are derived. After that, with maximizing the difference between the sidelobe and mainlobe as well as weighting each constraint, the waveform optimization problem, the constraints of which can be adjusted flexibly to satisfy the practical demands, is formulated. This waveform optimization problem can be recast as a linear programming, so it can be solved efficiently. The simulation results verify the effectiveness of the proposed design.