Eigenspace-Based Linearly Constrained Minimum Variance Beamformer

Zhao Yong-bo; Zhang Shou-hong

Volume 27 Issue 3

Mar. 2005

Turn off MathJax

Article Contents

Article Navigation > Journal of Electronics & Information Technology > 2005 > 27(3): 423-426

Zhao Yong-bo, Zhang Shou-hong . Eigenspace-Based Linearly Constrained Minimum Variance Beamformer[J]. Journal of Electronics & Information Technology, 2005, 27(3): 423-426.

Citation:

Zhao Yong-bo, Zhang Shou-hong . Eigenspace-Based Linearly Constrained Minimum Variance Beamformer[J]. Journal of Electronics & Information Technology, 2005, 27(3): 423-426.

Zhao Yong-bo, Zhang Shou-hong . Eigenspace-Based Linearly Constrained Minimum Variance Beamformer[J]. Journal of Electronics & Information Technology, 2005, 27(3): 423-426.

Citation:

Zhao Yong-bo, Zhang Shou-hong . Eigenspace-Based Linearly Constrained Minimum Variance Beamformer[J]. Journal of Electronics & Information Technology, 2005, 27(3): 423-426.

PDF( 1127 KB)

Eigenspace-Based Linearly Constrained Minimum Variance Beamformer

Received Date: 2003-11-28
Rev Recd Date: 2004-04-21
Publish Date: 2005-03-19

Abstract

Abstract

By combining the Linearly Constrained Minimum Variance Beamformer(LCMVB) with the eigenspace-based beam former, this pnper presents the Eigenspace-based Linearly Constrained Minimum Variance Beamformer{ELCMVB). The ELCMVB first projects the presumed steering vector of the LCMVB onto the signal subspace, then gets the weight vector by using the LCMV and the projected steering vector. The theoretical analysis indicates that the ELCMVB outperforms the Generalized Eigenspace-based Beamlbrmer(GEIB).Compared to the GEIB, the ELCMVB removes the computation of the modified signal subspace and overcomes the numerical instability. Null constraints hardly affect the performance of the ELCMVB. Computer simulation results are also presented and demonstrate the merits of the ELCMVB.

FullText(HTML)

References(1)

References

Feldman D D, Griffiths L J. A constrain projection approach for robust adaptive beamforming. in Proc. IEEE ICASSP,Mississauga, Imperial Press Limited, 1991:1381 - 1384.[2]Chang L, Yeh C C. Performance of DMI and eigenspace-based beamformers[J].IEEE Trans. on Antennas and Propagation.1992,40(11):1336-[3]Buckley K M, Griffiths L J. An adaptive generalized sidelobe canceller with derivative constraints[J].IEEE Trans. on Antennas and Propagation.1986, 34(3):311-[4]Er M H. Linear antenna array pattern synthesis with prescribed broad null[J].IEEE Trans. on Antennas and Propagation.1990,38(9):1496-[5]Yu J L, Yeh C C. Generalized eigenspaced-based beamformers[J].IEEE Trans. on Signal Processing.1995, 43(11):2453-[6]Yu J L, Leou M L. Transformation-based adaptive beamforming[J].Signal Processing.2000, 80(2):231-[7]Yeh C C, Wang W D. Coherent interference suppression by an antenna array of arbitrary geometry[J].IEEE Trans. on Antennas and Propagation.1989, 37(10):1317-

Relative Articles

Supplements(0)

Cited By

Proportional views