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Non-data-aided adaptive beamforming algorithm based on the Widely Linear Auxiliary Vector Filter | IEEE Conference Publication | IEEE Xplore

Non-data-aided adaptive beamforming algorithm based on the Widely Linear Auxiliary Vector Filter


Abstract:

We propose a non-data-aided adaptive beamforming algorithm based on Widely Linear (WL) processing techniques and the Auxiliary Vector Filtering (AVF) algorithm for non-ci...Show More

Abstract:

We propose a non-data-aided adaptive beamforming algorithm based on Widely Linear (WL) processing techniques and the Auxiliary Vector Filtering (AVF) algorithm for non-circular signals, where only the steering vector of the desired user is known. The proposed Widely Linear Auxiliary Vector Filtering (WL-AVF) algorithm recursively updates the filter weights by a sequence of auxiliary vectors that are designed according to the Widely Linearly Constrained Minimum Variance (WLCMV) criterion. It takes full advantage of the second-order statistics of the non-circular data, achieving a higher maximum signal-to-interference-plus-noise ratio (SINR) than the linear AVF. Key properties of the proposed WL-AVF are analyzed. Simulation results show that the WL-AVF beamforming algorithm performs the best among the existing adaptive algorithms.
Date of Conference: 22-27 May 2011
Date Added to IEEE Xplore: 11 July 2011
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Conference Location: Prague, Czech Republic

References

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