Hybrid Beamforming For Dual Functioning Multi-Input Multi-Output Radar Using Dimension Reduced-Baseband Piecewise Successive Approximation

A reliable and effective hybrid beamforming design for dual functioning multi-input multi-output(mimo) radar is a challenging research problem because of the concerns related to limited user capacity,interference, and lack of performance trade-off. due to the shortage of available spectrum, radarfrequency spectrum sharing has become vital in emerging 5g communication systems. this will reducespectrum congestion, therefore receiving significant attention. the existing hybrid beamformingmethods reduce the radio frequency (rf) chains but improving user capacity is still a major concern.future dual radar-communication designs are having challenges in enhancing the user capacity withminimum rf chains, interference mitigation, and hardware cost reduction. this work proposes a novelapproach to a hybrid beamforming mechanism for dual-functioning mimo radar. this mechanism usesthe dimension-reduced baseband piecewise successive approximation integrated with a digital precoder.at the analog precoder, the piecewise successive iterative approximation approach is applied to performthe analog beamforming. the novel hybrid beamforming with lens antenna array integration improvesthe user capacity and reduces power requirement, interference, and expenses. the simulation resultsshowed improved performances compared to existing state-of-the-art methods in terms of bit error rate,spectral efficiency, energy efficiency, and response time.