论文信息 - A new eigenvector weighting method for stable high resolution array processing

A new eigenvector weighting method for stable high resolution array processing

A stable high resolution estimator (SHIRE) based on a new weighting function for eigenvectors of an array sensor covariance matrix is proposed for bearing estimation of closely spaced sources. SHIRE is data adaptive and requires no user-defined parameter in its implementation. Numerical results are presented to illustrate the performance achievable. >

C. S. Lee | R. J. Evans

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

[2] Henry Cox,et al. Robust adaptive beamforming , 2005, IEEE Trans. Acoust. Speech Signal Process..

[3] H. Cox. Line Array Performance When the Signal Coherence is Spatially Dependent , 1973 .

[4] Charles L. Byrne,et al. Stable nonlinear methods for sensor array processing , 1985 .

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

[6] Charles L. Byrne,et al. High-resolution array processing using implicit eigenvector weighting techniques , 1990 .

[7] J. Capon. High-resolution frequency-wavenumber spectrum analysis , 1969 .

[8] M. H. Er. A robust formulation for an optimum beamformer subject to amplitude and phase perturbations , 1990 .

[9] S. DeGraaf,et al. Improving the resolution of bearing in passive sonar arrays by eigenvalue analysis , 1981 .

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