Bisar Target Parameter Estimation Method Using Admm-De Optimization

Bistatic synthetic aperture radar (BiSAR) can provide high-resolution images and effectively observe from various visual angles, enabling automatic target recognition. Estimation of target scattering parameters is one of the important key techniques in target recognition and super-resolution imaging. The compressed sensing(CS)-based methods have been widely used in SAR imaging. However, the hyperparameters of these methods are often difficult to be set to optimal, which leads to inaccurate estimation results. To solve this problem, this paper proposes a BiSAR target scattering parameter estimation method. First, the echo model is established based on the point scattering model and three typical scattering primitives to characterize the different scattering characteristics of different targets. Second the scattering parameter estimation problem is transformed into the optimization problem, and the alternating direction method of multipliers(ADMM) is introduced to estimate target parameters. There are four regularization parameters in the optimization problem, which are automatically set to the optimum by combining with the differential evolution(DE) algorithm. Then the estimated result is obtained by optimization with the optimal regularization parameters. Numerical simulation experiments demonstrate the effectiveness of the proposed method.