Adaptive Linearly Constrained Beamforming Algorithms for Smart Jamming Suppression
To suppress the smart jamming efficiently, in this paper, array beamforming algorithms, based on direct linearly constrained as well as the so-called Generalized Sidelobe Canceller (GSC) structures, are addressed. The performance comparison between different structures with variety adaptation algorithms is emphasized. Especially, we will focus on the capability of smart jamming suppression with the modified conjugate gradient algorithm, which is one of the conjugate direction techniques, in such environments when the pointing error is existed. The merits of different constrained algorithms are verified by evaluating the performance, in terms of the output signal-to-interference ratio (SINR) to investigate the convergence property and beampatterns to verify the nulling capability.
KeywordsWeight Vector Conjugate Gradient Azimuth Angle Conjugate Gradient Algorithm Adaptive Array
Unable to display preview. Download preview PDF.
- 2.S. Haykin, Adaptive Filter Theory,3rd ed. Englewood Cliffs, NJ: Prentice-Hall, 1996Google Scholar
- 5.L. S. Resende, J. M. Romano and M.G. Bellanger, “A robust FLS algorithm for LCMV adaptive broad band beamformer,” Proc. IEEE Int. Conf. Acoustic, Speed and Signal pro-cessing, vol. 3, pp. 1826–1829, 1996Google Scholar
- 6.Z. Tian, K. L. Bell and H. L. Van Trees, “A Recursive Least Squares Implementation for LCMP Beamforming Under Quadratic Constraint,” IEEE Trans. Antennas and Propaga-tion, vol. 49, no. 6, June 2001Google Scholar
- 7.T. J. Shan and T. Kailath,“Adaptive Beamforming for Coherent Signals and Interference,” IEEE Trans. Signal Processing, vol. ASSP-33, no. 3, June 1985Google Scholar
- 11.B. D. Van Veen and K. M. Buckley,“Beamforming: A Versatile Approach to Spatial Filter-ing,” IEEE Acoust, Speech, Signal Processing Mag, vol. 5, pp. 4–24, Apr. 1988Google Scholar
- 12.G. D. Mandyam, N. Ahmed and M. D. Srinath, “Adaptive Beamforming Based on the Conjugate Gradient Algorithm,”/EEE Trans. on Aerospace and Electronics Systems, vol. 33, no. 1, Jan. 1997Google Scholar
- 14.P. S. Chang and A. N. Willson, Jr.,“Adaptive Spectral Estimation Using the Conjugate Gra-dient Algorithm” Proc. IEEE Int. Conf. Acoustic, Speech, and Signal Processing, Atlanta, pp. 2979–2982, May 1996Google Scholar
- 15.G. H. Golub and C. F. Van Loan, Matrix Computations, 2–1 ed. Baltimore, MD: Johns Hopkins University Press, 1990Google Scholar
- 17.J. A. Apolinario, Jr., M. L. R. de Campos and C. P. Bernal 0.,“The Constrained Conjugate Gradient Algorithm,” IEEE Signal Processing, vol 7, Dec. 2000Google Scholar
- 18.L. S. Resende, J. M. Romano and M.G. Bellanger, “A Fast Least-Squares Algorithm for Linearly Constrained Adaptive filtering;’ IEEE Trans. on Signal Processing, vol. 44, no. 5, May 1996Google Scholar
- 19.M. G. Bellanger, Adaptive Filters and Signal Analysis. New York: Marcel Dekker, 1987Google Scholar
- 20.S. J. Chern and S. M. Wang,“Adaptive Multiuser Detector for DS-CDMA Over Multipath Fading Channel with Linearly Constrained Constant Modulus Modified Conjugate Gradient Algorithm,” IEEE 2003 International Symposium on Intelligent Signal Processing and Communication Systems, Awaji Island, Japan, pp. 297–302, Dec. 7–10, 2003Google Scholar