Multiple Broad-Band Source Location Using Steered
Covariance Matrices · 1989
Absfmt-This paper presents an approsch for reducing the threshold observation time required to achieve high-resolution localization of multiple broad-band sources. The proposed techniques are based on a space-time statistic called the steered covariance matrix (STCM). The STCM, like the well-known cross-spectral density matrix (CSDM), has asymptotic properties which facilitate h%h-resolutlw source iocalization. In broad-band 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 coqjunctbn with minimum variance and linear predktive spectnl estimation to obtain the steered minimum variance (STMV) and steered linear pndition (STLP) methods. Analytical and simulation results are presented which suggest the STMV and STLP methods exhibit lower threshoid observation times than their CSDM-based counterparts. I. INTRODUCTION