Robust Adaptive Array Beamforming Based on Modified Norm Constraint Algorithm

Authors

  • Wenxing Li College of Information and Communications Engineering Harbin Engineering University, Harbin 150001, China
  • Xiaojun Mao College of Information and Communications Engineering Harbin Engineering University, Harbin 150001, China
  • Wenhua Yu College of Information and Communications Engineering Harbin Engineering University, Harbin 150001, China
  • Yingsong Li College of Information and Communications Engineering Harbin Engineering University, Harbin 150001, China
  • Chongyi Yue College of Information and Communications Engineering Harbin Engineering University, Harbin 150001, China

Keywords:

Norm constraint, orthogonal projection, robust adaptive beamforming

Abstract

In order to further improve the performance of the Norm Constrained Capon Beamforming (NCCB) algorithm, a Modified Norm Constraint Capon algorithm (MNCCB) is proposed and investigated in detail. The proposed MNCCB algorithm is realized by exerting an orthogonal projection on the array weight vector and restricting the norm constraint to enhance the array weight vector constraint when Array Steering Vector (ASV) mismatch is large. The simulation results show that the proposed MNCCB can provide stronger robustness against ASV mismatches and can achieve higher output Signal to Interference plus Noise Ratio (SINR), compared with existing adaptive beamforming algorithms.

Downloads

Download data is not yet available.

References

H. L. Van Trees, “Optimum array processing,” Wiley, New York, 2002.

P. S. Naidu, “Sensor array signal processing,” CRC Press, Florida, 2001.

H. Cox, R. M. Zeskind, and M. H. Owen, “Robust adaptive beamforming,” IEEE Trans. Acoust, Speech, Signal Process., vol. ASSP-35, pp. 1365- 1376, October 1987.

I. S. Reed, J. D. Mallett, and L. E. Brennan, “Rapid convergence rate in adaptive arrays,” IEEE Trans. Aerosp. Electron. Syst., vol. 10, pp. 853-863, November 1974.

L. J. Griffiths and C. W. Jim, “An alternative approach to linearly constrained adaptive beamforming,” IEEE Trans. Antennas Propagat., vol. 30, pp. 27-34, January 1982.

A. B. Gershman, “Robust adaptive beamforming in sensor arrays,” Int. J. Electron. Commun., vol. 53, pp. 305-314, December 1999.

H. Cox, R. M. Zeskind, and M. H. Owen, “Robust adaptive beamforming,” IEEE Trans. Acoust, Speech, Signal Process., vol. ASSP-35, pp. 1365- 1376, October 1987.

L. Chang and C. C. Yeh, “Performance of DMI and eigenspace-based beamformers,” IEEE Trans. Antennas Propagat., vol. 40, no. 11, pp. 1336- 1347, November 1992.

J. Li, P. Stotica, and Z. Wang, “On robust capon beamforming and diagonal loading,” IEEE Trans. Signal Process., vol. 51, no. 7, pp. 1702-1714, July 2003.

A. Hassanien, S. A. Vorobyov, and K. M. Wong, “Robust adaptive beamforming using sequential programming: an iterative solution to the mismatch problem,” IEEE Signal Process. Letts., vol. 15, pp. 733-736, 2008.

J. Li, P. Stotica, and Z. Wang, “Doubly constrained robust capon beamformer,” IEEE Trans. Signal Process., vol. 52, no. 9, pp. 2407-2423, September 2004.

S. E. Nai, W. Ser, Z. L. Yu, and H. Chen, “Iterative robust minimum variance beamforming,” IEEE Trans. Signal Processing, vol. 59, no. 4, pp. 1601- 1611, April 2011.

C. F. Liu and G. S. Liao, “Robust capon beamformer under norm constraint,” Signal Processing, vol. 90, no. 6, pp. 1573-1581, November 2010.

A. Beck and Y. C. Eldar, “Doubly constrained robust capon beamformer with ellipsoidal uncertainty sets,” IEEE Trans. Signal Processing, vol. 55, no. 2, pp. 753-758, February 2007.

CVX Research, “CVX: matlab software for disciplined convex programming,” version 2.0 beta’, http://cvxr.com/cvx, accessed August 2013.

H. Liu, G. Liao, and Y. Xie, “Unified framework for two robust beamforming methods,” Electronics Letters, vol. 42, no. 7, pp. 425-426, March 2006.

Downloads

Published

2021-08-30

How to Cite

[1]
W. . Li, X. . Mao, W. . Yu, Y. . Li, and C. . Yue, “Robust Adaptive Array Beamforming Based on Modified Norm Constraint Algorithm”, ACES Journal, vol. 29, no. 12, pp. 1060–1066, Aug. 2021.

Issue

2014: Vol 29 Iss 12

Section

Articles