MODIFICATION TO THE MODIFED FORWARD AND BACKWARD LINEAR PREDICTION (M-MFBLP).
Abstract
Modification to the modified forward and backward linear prediction (M-MFBLP) is presented. This is achieved by using a noise-removed normal equation in place of partially noise removed normal equation. Perturbation bounds are developed. It is shown that the effectiveness of the M-MFBLP is dominant when the number of snapshots are small. In the presence of large numbers of snapshots, both MFBLP and M-MFBLP perform equally. Derivation is made in the context of adaptive array processing.