Dominant-mode steered linear prediction for high resolution broadband source location

The authors develop a linear predictive approach for high-resolution broadband-bearing estimation in low signal-to-noise ratio environments. The proposed technique is based on a space-time statistic called the steered covariance matrix (STCM). In broadband settings, the STCM has an advantage over cross-spectral density matrix in that it can be estimated with much greater statistical stability. The STCM is used in conjunction with linear predictive spectral estimation and dominant-mode enhancement to obtain a broadband spatial spectral estimate with lower mean-square bearing estimation error than both incoherent MUSIC and a dominant-mode STCM-based minimum variance method in low signal-to-noise ratio simulation experiments