Abstract
Matched mode processing (MMP), which introduces the acoustic propagation model in the complex underwater waveguides, has been one of the promising directions in source localization. The well-known Capon method is often used for MMP due to the capability of high resolution; however, its performance may degrade significantly in the presence of mismatch. There are various mismatches such as environmental uncertainties, array calibration errors or signal random distortions that make it quite difficulty for source localization in practice. In this paper, we develop a robust Capon MMP method based on the optimization of worst-case performance. The weight vector is obtained with a convex optimization based algorithm using the second-order cone programming (SOCP). Simulations with the benchmark cases of general mismatch show that the proposed robust Capon method for MMP provides certain robustness against mismatches as well as effective capability of sidelobe suppression.
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