EXPLOITING SENSOR ARRAY MOTION FOR AUGMENTATION OF CO-PRIME LINEAR ARRAYS
Juan Ramirez Jr., Jonathan Odom, Jeffrey Krolik.
Duke University, Durham, NC.
We combine concepts from synthetic aperture processing and non-uniform linear array theory. Our objective is to use array motion to synthesize an array that can achieve the performance of a filled, uniform linear array (ULA), but with fewer sensors than required for spatial Nyquist sampling. The class of physical arrays we use for synthesis are co-prime arrays constructed by nesting under-sampled ULA's with co-prime, inter-element spacings. In particular, we use array motion to fill in missing co-array spacings. For co-prime M and N, a physical array of M + 2N -1 sensor elements plus modest array motion is used to achieve a filled co-array corresponding to approximately 2MN sensor elements. This facilitates spatial spectral estimation via non-adaptive beamforming over an extended aperture with low sidelobe performance.