Performance Analysis and Comparison Between Robust Adaptive Beamforming
Abstract
With the ever-growing needs of a high quality of wireless communication services, the field of multiple-antenna systems, which is often called Multiple-Input Multiple-Output (MIMO) systems, has evolved rapidly. In principle, multiple-antenna techniques can fully exploit the spatial domain information to enhance wireless communication quality, so have constituted the key technologies for modern wireless communications. Adaptive beamforming, which can be interpreted as a processor in conjunction with an array of antennas to provide an adaptive form of spatial filtering, is effectively utilized to improve the Signal Interference Noise Ratio (SINR) or suppress spatial noise and interference in a multiuser scenario. However, due to the array steering vector errors, small-sample errors and so on, its performance will suffer from a substantial degradation in practical engineering applications. In this paper, Norm Constraint Robust Capon Beamforming (NCRB) and Worst-Case Performance Optimization Robust Beamforming (WCRB) are respectively formulated as a standard SOCP form, and their performances are compared and analyzed in detail. Finally, computer simulations show the algorithms’ excellent performance for Signal Of Interest (SOI) power estimation and output SINR (Signal Interference Noise Ratio) as compared with the standard adaptive beamforming via a number of numerical examples
Keywords
Norm Constraint Robust Capon Beamforming; Worst-Case Performance Optimization Robust Beamforming; second order cone programming; robust adaptive beamforming; SEDUMI
DOI
10.12783/dtetr/mcemic2016/9510
10.12783/dtetr/mcemic2016/9510
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