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The reversed and shift (RAS) sparse array scheme, which is based on thedifference and sum co-array (DSCA) and remarkably enhances the capability ofidentifying sources, is proposed. For the original nested array (NA) orco-prime array (CPA), there exists a large overlap between its differenceco-array and sum co-array, which prevents it from obtaining high degrees offreedom (DOFs). Motivated by this fact, the RAS scheme is designed for reducingthe overlap while increasing the DOFs for direction of arrival (DOA)estimation. The proposed scheme is effective for both NA and CPA. Theclosed-form expression for the relationship between the number of physicalsensors and the number of consecutive DSCA sensors is derived. Compared withsome representative DSCA based sparse arrays, the proposed one can achievelonger consecutive virtual array. Simulation experiments are carried out toexhibit the enhanced DOA estimation performance of RAS scheme.

A Reversed and Shift Sparse Array Scheme based on the Difference and Sum Co-array