Robust Widely Linear Beamforming via the Techniques of Iterative QCQP and Shrinkage for Steering Vector Estimation

For non-circular signals, the existing robust widely linear (WL) beamforming algorithms either suffer from performance degradation at high signal-to-noise ratio or have high computational complexities. In order to cope with this problem, three low-complexity robust WL beamformers, i.e., the WL-IQCQP...

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Veröffentlicht in:	IEEE access 2018-01, Vol.6, p.17143-17152
Hauptverfasser:	Liu, Jiangbo, Xie, Wei, Wan, Qun, Gui, Guan
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Antenna arrays Array signal processing augmented covariance matrix reconstruction Beamforming Covariance matrices Covariance matrix Degradation extended steering vector estimation Interference Iterative methods non-circular signal Performance degradation Quadratic programming Robustness Robustness (mathematics) Shrinkage shrinkage method Signal processing algorithms Signal to noise ratio Steering Widely linear beamforming
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