Adaptive beamforming for quadrupole resonance

Authors:
Petre Stoica;Hong Xiong;Luzhou Xu;Jian Li
Affiliations:
Department of Information Technology, Uppsala University, Uppsala, Sweden;Department of Electrical and Computer Engineering, University of Florida, P.O. Box 116130, Gainesville, FL 32611, USA;Department of Electrical and Computer Engineering, University of Florida, P.O. Box 116130, Gainesville, FL 32611, USA;Department of Electrical and Computer Engineering, University of Florida, P.O. Box 116130, Gainesville, FL 32611, USA
Venue:
Digital Signal Processing
Year:
2007

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Abstract

We present several adaptive beamforming approaches to improve the quadrupole resonance (QR) signal detection performance via exploiting both the spatial and temporal correlation of radio frequency interferences (RFIs). We operate in the framework of signal amplitude estimation with known signal waveform and make use of three adaptive beamforming approaches, viz., the standard Capon beamformer (SCB), the robust Capon beamformer (RCB), and the amplitude and phase estimation (APES) algorithm, to develop several new approaches for mitigating the spatially and temporally correlated RFIs. Simulated and experimental results are provided to demonstrate the effectiveness of the proposed approaches.