Robust Adaptive Beamforming Against Interferer’s Direction Of Arrival Estimation Error

Document Type : Original Article

Authors

Abstract

One of the ways to deal with the effect of jammers, especially intra-band jammers, is to use beamforming in multi-antenna systems. In this method, based on the direction of arrival (DOA) of the desired signal and DOA of the interferer, it is tried to design a beam pattern which has a peak in the direction of the desired source and a null in the direction of interferer. Depth of the null and its location depend on the information obtained about the angle of interferer from electronic support measure (ESM) system. In practice, it is not possible to obtain accurate information from the electronic support measure (ESM) system. In this paper, a beamforming method named estimation error probability based beamformer (EEPBF)which is robust to DOA estimation error has been proposed. Data dependent methods may be more efficient than the proposed method with the cost of more complexity of receiver structure required to extract information from the    desired and interference signals, whilst for confronting the interferer our proposed method uses existing systems’ information, taking into account their errors. The proposed method keeps signal to interference plus noise ratio (SINR) in the order of signal to noise ratio (SNR) which can be obtained by error free DOA estimation methods. Simulation results show that the proposed method is more efficient than previous   methods and traditional approaches.
 

Keywords

References

[1]     F. Samsami-Khodadad and F. Nazari, “A Novel and Efficient DS/CDMA Direction of Arrival Algorithm for Multipath Fading Channel,” Journal of Electronical & Cyber Defence, vol. 3, no. 3, 2016. (In Persian)##
 [2]     J. Capon, “High-resolution frequency-wavenumber spectrum analysis,” Proceedings of the IEEE, vol. 57, no. 8, pp. 1408-1418, Aug. 1969.##
 [3]     J. Li and P. Stoica, “Robust Adaptive Beamforming,” Wiley, New York, 2006.##
 [4]     B. D. Carlson, “Covariance matrix estimation errors and diagonal loading in adaptive arrays,” Aerospace and Electronic Systems, IEEE Transactions on, vol. 24, no. 4, pp. 397–401, Jul. 1988.##
 [5]     O. L. Frost, “An algorithm for linearly constrained adaptive array processing,” Proceedings of the IEEE, vol. 60, no. 8, pp. 926–935, Aug. 1972.##
 [6]     S. Applebaum and D. Chapman, “Adaptive arrays with main beam constraints,” Antennas and Propagation, IEEE Transactions on, vol. 24, no. 5, pp. 650–662,   Sep. 1976.##
 [7]     C. Y. Tseng and L. J. Griffiths, “A unified approach to the design of linear constraints in minimum variance adaptive beamformers,” Antennas and Propagation, IEEE Transactions on, vol. 40, no. 12, pp. 1533–1542, Dec. 1992.##
 [8]     J. B. Liu, X. C. Cong, W. Xie, Q. Wan, and G. Gui, “robust adaptive beamforming for noncircular signal against array steering vector mismatch and interference nonstationary,” proceeding of ChinaSIP, pp. 89-93, 2015.##
 [9]     C. Zhou, Y. Gu, W. Song, Y. Xie, and Z. Shi, “Robust Adaptive Beamforming Based on DOA Support Using Decomposed Coprime Subarrays,” proceeding of 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2986-2990, 2016.##
 [10]  W. Guo, P. Mu, Q. Yin, and W. Wang, “A New Robust Beamforming Method Against Signal Steering Vector Errors And Moving Jammers,” 2011 International Conference on Wireless Communications and Signal Processing (WCSP), pp. 1-5, 2011.##
 [11]  V. Rabinovich and N. Alexandrov, “Antenna Arrays and Automotive Applications,” Springer, New York, Chapter 2, 2013.##
Electronic and Cyber Defense
Volume 7, Issue 3 - Serial Number 23
November 2019
Pages 27-36

Files

History

  • Receive Date: 20 May 2018
  • Accept Date: 10 April 2019
  • Publish Date: 23 October 2019

Share

How to cite

Statistics