Optimum broadband beamforming for coherent broadband signals and interferences

The problem of optimum broadband beamforming using linear arrays is considered with a view to avoid signal cancellation that normally results when signal-correlated interferences are present in the environment. The optimum approaches proposed here are based on a harmonic model for signals and interferences on the one hand, and a convenient characterization of the signal-free interference subspace from the observed data, on the other. The characterization so obtained leads to a broadband generalization of results reported earlier in the literature for narrowband beamforming. The three beamformers proposed here completely eliminate signal cancellation without any adverse effects. Computer simulations are presented which validate the expected performance of the three beamformers proposed here in the presence of correlated and uncorrelated interferences.

[1]  Venkatesh Nagesha,et al.  On frequency estimation with the IQML algorithm , 1994, IEEE Trans. Signal Process..

[2]  O. L. Frost,et al.  An algorithm for linearly constrained adaptive array processing , 1972 .

[3]  R. Gooch,et al.  Wide-band adaptive array processing using pole-zero digital filters , 1986 .

[4]  Surendra Prasad,et al.  DOA estimation of wideband sources using a harmonic source model and uniform linear array , 1999, IEEE Trans. Signal Process..

[5]  Martin Morf,et al.  Modal decomposition signal subspace algorithms , 1983, IEEE Trans. Acoust. Speech Signal Process..

[6]  S. Kay,et al.  Broad-Band Detection Based on Two-Dimensional , 1993 .

[7]  Arnab K. Shaw,et al.  Maximum likelihood estimation of multiple frequencies with constraints to guarantee unit circle roots , 1995, IEEE Trans. Signal Process..

[8]  Simon Haykin,et al.  Advances in spectrum analysis and array processing , 1991 .

[9]  L. Griffiths,et al.  An adaptive generalized sidelobe canceller with derivative constraints , 1986 .

[10]  Hong Wang,et al.  Coherent signal-subspace processing for the detection and estimation of angles of arrival of multiple wide-band sources , 1985, IEEE Trans. Acoust. Speech Signal Process..

[11]  Yoram Bresler,et al.  Exact maximum likelihood parameter estimation of superimposed exponential signals in noise , 1986, IEEE Trans. Acoust. Speech Signal Process..

[12]  Björn E. Ottersten,et al.  Modified IQML and a statistically efficient method for direction estimation without eigendecomposition , 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

[13]  H. Cox.  Resolving power and sensitivity to mismatch of optimum array processors , 1973 .

[14]  Antonio Cantoni,et al.  Derivative constrained optimum broad-band antenna arrays , 1993, IEEE Trans. Signal Process..

[15]  B.D. Van Veen,et al.  Beamforming: a versatile approach to spatial filtering , 1988, IEEE ASSP Magazine.

[16]  Randy L. Haupt,et al.  Introduction to Adaptive Arrays , 1980 .

[17]  B. Widrow,et al.  Adaptive antenna systems , 1967 .

[18]  Thomas Kailath,et al.  Optimum beamforming for coherent signal and interferences , 1988, IEEE Trans. Acoust. Speech Signal Process..

[19]  Thomas Kailath,et al.  Performance analysis of the optimum beamformer in the presence of correlated sources and its behavior under spatial smoothing , 1987, IEEE Trans. Acoust. Speech Signal Process..

[20]  Jian Li,et al.  On the inconsistency of IQML , 1997, Signal Process..