Wideband Gaussian Source Processing Using a Linear Nested Array
Keyong Han, Arye Nehorai · IEEE Signal Processing Letters · 2013
Based on a recently proposed linear nested array, we consider the problem of source number detection and direction of arrival estimation for wideband Gaussian sources. This array provides O(N2) degrees of freedom with O(N) sensors, enabling us to estimate K sources with N <; K sensors. To employ the nested array for the wideband case, we propose effective strategies to apply nested-array processing to each frequency component, and combine all the spectral information of various frequencies to conduct the detection and estimation. In particular, for source detection, we propose a novel approach employing the idea of ensemble, used in machine learning and statistics. Numerical simulations demonstrate the advantages of our strategies.