Waveform design of cognitive MIMO radar with multiple targets and multiple criterias

To meet the requirements of multiple-input multiple-output (MIMO) radar target detection and parameter estimation in a multi-target scenario, this study establishes a multi-objective optimization model with the weighted sum of dual mutual information and signal-to-clutter-plus-noise ratio (SCNR) as the criterion function, and proposes a waveform optimization method to meet the given constraints. Firstly, based on the multi-objective optimization model, the maximum marginal allocation (MMA) algorithm is used to obtain the optimal waveform in the frequency domain. Then the sequential quadratic programming (SQP) algorithm is used to generate the continuous phase coded signal to approximate the optimal waveform by considering the constant mode constraint and orthogonality constraint with the minimum mean-square error as the criterion function. Finally, the simulation shows that the proposed method can get the time-domain waveforms for different target characteristics, as well as achieve well performance both in multi-target detection and parameter estimation performance.