Sparse Array Beamforming Design for Wideband Signal Models

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