Robust source localization using predictable mode subspace in the presence of interference in uncertain environments

In shallow water, loud surface ships can mask the weak signal of the underwater target. In this case, the localization of the target is difficult due to side-lobes of the interferers. By incorporating the prior knowledge of the uncertain parameters, we have proposed a robust localization method [Liu, et al. Robust source localization using predictable mode subspace in uncertain shallow ocean environment. OCEANS'13], in which the replica vector is reconstructed using the predictable mode subspace. In this paper, the method is further extended to work in the loud interference presence environment with the help of the orthogonal projection matrix. The general mismatch benchmark model was used to verify the proposed method. The results show that the proposed method has a better localization performance than the mean model matched field processor (MFP) when there is a loud interference in uncertain environment.