Abstract
Traditional adaptive beamforming methods undergo serious performance degradation in the presence of mismatches between the assumed array response and the true array response. In this paper, we propose an algorithm which belongs to the class of diagonal loading approach, but the diagonal loading factor is computed fully automatically from the array observation vectors without the need of specifying any user parameters. Moreover, in order to decrease the computational cost, we adopt the gradient descent method to update weight vector. Some simulation results are presented to compare the performance of the proposed algorithm with sample matrix inversion (SMI) algorithm and loaded SMI (LSMI) algorithm.
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References
Rapapport, T.S. (ed.): Smart Antennas: Adaptive Arrays, Algorithms, and Wireless Position Location. IEEE, Piscataway (1998)
Compton Jr., R.T., et al.: Adaptive arrays for communication system: An overview of the research at the Ohio State University. IEEE Trans. Antennas and Propagation 24, 599–607 (1976)
Gershman, A.B., Nemeth, E.: Experimental performance of adaptive beamforming in a sonar environment with a towed array and moving interfering sources. IEEE Trans. Signal Processing 48, 246–250 (2000)
Kameda, Y., Ohga, J.: Adaptive microphone-array system for noise reduction. IEEE Trans. Acoust., Speech, Signal Processing 34, 1391–1400 (1986)
Li, J., Stoica, P.: Robust Adaptive Beamforming. John Wiley & Sons, New York (2005)
Carlson, B.D.: Covariance matrix estimation errors and diagonal loading in adaptive arrays. IEEE Trans. Aerosp. Electron. Syst. 24, 397–401 (1988)
Vorobyov, S.A., Gershman, A.B., Luo, Z.-Q.: Robust adaptive beamforming using worst-case performance optimization: a solution to the signal mismatch problem. IEEE Trans. Signal Processing 51(2) (February 2003)
Stoica, P., Li, J., Zhu, X., Guerci, J.R.: On using a priori knowledge in space-time adaptive processing. IEEE Trans. Signal Processing 56, 2598–2602 (2008)
Ledoit, O., Wolf, M.: A well-conditioned estimator for large-dimensional covariance matrices. J. Multivar. Anal. 88, 365–411 (2004)
Li, J., Du, L., Stoica, P.: Fully automatic computation of diagonal loading levels for robust adaptive beamforming. In: IEEE International Conference. Acoustics, Speech and Signal Processing (2008)
Elnashar, A.: Efficient implementation of robust adaptive beamforming based on worst-case performance optimization. IET. Signal Processing 2, 381–393 (2008)
Elnashar, A., Elnoubi, S., Elmikati, H.: Further study on robust adaptive beamforming with optimum diagonal loading. IEEE Trans. Antennas Propag. 54, 3647–3658 (2006)
Attallah, S., Abed-Meraim, K.: Fast algorithms for subspace tracking. IEEE Trans. Signal Process. Lett. 8, 203–206 (2006)
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Wang, F., Wang, J., Song, X. (2012). An Improved Diagonal Loading Algorithm. In: Jin, D., Lin, S. (eds) Advances in Electronic Commerce, Web Application and Communication. Advances in Intelligent and Soft Computing, vol 149. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28658-2_7
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DOI: https://doi.org/10.1007/978-3-642-28658-2_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28657-5
Online ISBN: 978-3-642-28658-2
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