Multiple Broad-Band Source Location Using Steered Covariance Matrices
This paper presents an approach for reducing the threshold observation time required to achieve high-resolution localization of multiple broadband sources. The proposed techniques are based on a spacetime statistic called the steered covariance matrix (STCM). The STCM, like the wellknown cross-spectral density matrix (CSDM), has asymptotic properties which facilitate high-resolution source localization. In broadband settings, however, the STCM has the advantage that it can be estimated with much greater statistical stability than the CSDM. In this paper, the STCM is used in conjunction with minimum variance and linear predictive spectral estimation to obtain the steered minimum variance (STMV) and steered linear prediction (STLP) methods. Analytical and simulation results are presented which suggest the STMV and STLP methods exhibit lower threshold observation times than their CSDM-based counterparts. © 1989 IEEE
