Optimum Sparse Array Configuration for Mismatched DOA on Moving Platforms

Sparse arrays on a moving platform can efficiently expand the numbers of achievable degrees of freedom (DOFs) and consecutive lags, improving direction-of-arrival (DOA) estimation. This property has been recently used for the case of environment-independent structured sparse array configurations, such as those defined by nested and co-prime arrays. In this paper, we consider environment-dependent sparse arrays (EDSAs) design for mismatched DOA using Cramer-Rao bound (CRB) as the metric of optimality. The CRB is derived for multiple sources with angle biases. Two optimization metrics are considered, and solved by enumerations, to provide the optimum arrays. Simulation results are presented to validate the effectiveness of the proposed EDSA design.