A novel receive beamforming approach of ultrasound signals based on distributed compressed sensing

High efficient acquisition of the sensor array signals and accurate reconstruction of the backscatters medium are important issues in ultrasound reveive beamforming. This paper presents a novel receive beamforming approach based on distributed compressed sensing (DCS) which seeks to simultaneously measure signals that are each individually sparse in some domain(s) and also mutually correlated with much few measurements under the Nyquist rate. Instead of sampling conventional backscattering signals at the Nyquist rate, few linear projections of the returned signal with random vectors are taken as measurements. Then high resolution ultrasound image is reconstructed from the few measurements directly by a new adaptive beamforming (ABF) algorithm without the complex raw signals recovering of DCS methods. The simulated results show that the proposed algorithm can dramatically reduce the sampling frequency, achieve high resolution ultrasound image reconstruction and greatly alleviate the computational load of the processing in practice.