Sparse Array Beamforming Design for Wideband Signal Models
Syed A. Hamza, Moeness G. Amin
Abstract
We develop sparse array receive beamformer design methods achieving maximum signal-to-interference plus noise ratio for wideband sources and jammers. Both tapped delay line filtering and the DFT realizations to wideband array processing are considered. The array sparsity stems from the limited number of available radio frequency (RF) transmission chains that switch between the sensors, thereby configuring different arrays at different times. The sparse array configuration design problem is formulated as a quadratically constraint quadratic program and solved by using semidefinite relaxation. A computationally viable approach through successive convex relaxation is also pursued. In order to realize an implementable design, in presence of missing autocorrelation lags, we propose parameter-free block Toeplitz matrix completion to estimate the received data correlation matrix across the entire array aperture. It is shown that the optimum wideband sparse array effectively utilizes the array aperture and provides considerable performance improvement over suboptimal array topologies.