The constrained MUSIC problem

The MUSIC-based direction-of-arrival (DOA) method is generalized to include constraints involving known signal information. Projection operators are used to constrain the noise subspace to be orthogonal to a set of prespecified direction vectors. By incorporating known source directions, the estimation of unknown source directions can be significantly improved. Simulations are performed over a wide range of scenarios to demonstrate the usefulness of the approach. >

[1]  B. V. Van Veen,et al.  Structured covariance matrices and dimensionality reduction in array processing , 1988, Fourth Annual ASSP Workshop on Spectrum Estimation and Modeling.

[2]  C. Demeure,et al.  The high-resolution spectrum estimator—A subjective entity , 1984, Proceedings of the IEEE.

[3]  Bhaskar D. Rao,et al.  Performance analysis of Root-Music , 1989, IEEE Trans. Acoust. Speech Signal Process..

[4]  M. Wengrovitz,et al.  Improved high-resolution direction-finding through use of homogeneous constraints , 1988, Fourth Annual ASSP Workshop on Spectrum Estimation and Modeling.

[5]  Ilan Ziskind,et al.  Maximum likelihood localization of multiple sources by alternating projection , 1988, IEEE Trans. Acoust. Speech Signal Process..

[6]  Petre Stoica,et al.  MUSIC, maximum likelihood, and Cramer-Rao bound , 1989, IEEE Transactions on Acoustics, Speech, and Signal Processing.

[7]  Michael D. Zoltowski,et al.  Development, performance analysis, and experimental evaluation of beamspace Root-MUSIC , 1991, [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing.

[8]  R. O. Schmidt,et al.  Multiple emitter location and signal Parameter estimation , 1986 .

[9]  Arthur Jay Barabell,et al.  Improving the resolution performance of eigenstructure-based direction-finding algorithms , 1983, ICASSP.