1 research outputs found
Sparse Sensing with Semi-Coprime Arrays
A semi-coprime array (SCA) interleaves two undersampled uniform linear arrays
(ULAs) and a element standard ULA. The undersampling factors of the first
two arrays are and respectively where and are coprime. The
resulting non-uniform linear array is highly sparse. Taking the minimum of the
absolute values of the conventional beampatterns of the three arrays results in
a beampattern free of grating lobes. The SCA offers more savings in the number
of sensors than other popular sparse arrays like coprime arrays, nested arrays,
and minimum redundant arrays. Also, the SCA exhibits better side lobe patterns
than other sparse arrays. An example of direction of arrival estimation with
the SCA illustrates SCA's promising potential in reducing number of sensors,
decreasing system cost and complexity in various signal sensing and processing
applications