Coprime processing for the Elba Island sonar data set

Coprime sensor arrays (CSAs) use interleaved uniform linear arrays (ULAs) containing a relatively small number of sensors to obtain resolution comparable to a single densely populated ULA. For narrowband CSA processing, each interleaved subarray is beamformed independently, and the resulting outputs are multiplied and averaged over time to obtain the CSA power spectrum. Although the individual subarrays are undersampled, the overall CSA output is not aliased. This paper considers the problem of designing coprime arrays for passive sonar and applies CSA processing to analyze the existing Elba Island data set.