Computationally efficient 2-D spectral estimation
Stefan Jakobsson, Torbjörn Ekman, Petre Stoica · 2002
We present an efficient implementation of the 2-D amplitude spectrum capon (ASC) estimator, denoted the 2-D Burg-based ASC (BASC) estimator. The algorithm, which will depend only on the (forward) linear prediction matrices and the (forward) prediction error covariance matrices, can be implemented using the 2-D fast Fourier transform. To compute the needed prediction matrices, we make use of a recently proposed 2-D lattice algorithm, which computes the linear prediction matrices directly from the multichannel data without first computing the autocorrelation sequence.