Angle-Doppler Estimation in Heavy Correlated Interference

In this paper, a Prony estimation method on wavelet-transformed space-time signal is proposed with Adaptive Simulated Annealing (ASA) algorithm as a global optimizer. In addition to denoising property of wavelet transformation, the proposed approach appeals to its decor relating nature. Our method improves the performance of radar systems with large array antenna, such as OTH radars in STAP applications. We show that the conglomeration of Prony estimator and ASA algorithm achieve good performance in terms of detection and resolution in comparison with the classical STAP algorithm in the presence of powerful external correlated interference. Moreover, we present how to apply STAP technique to parameter estimation of target in the correlated non-Gaussian interference environments that causes Maximum Likelihood (ML) function be nonlinear with respect to the angle and Doppler. In the following, ASA algorithm is employed for global optimization of all nonlinear functions. Extensive simulations demonstrate that our proposed algorithm outperforms that previously reported estimators with extremely low computational cost.