In the recent past many attempts have been performed in order to obtain the adaptive suppression of correlated interference (clutter) in coherent radar systems. In this paper the spectral estimation with their modern algorithms is considered. By starting from the Wiener optimum filtering technique, a convenient implementation of the linear prediction algorithm is found to be the lattice filter, in double clutter environment. The performance in search radar applications are analyzed and the Improvement Factor losses, due to clutter estimation error, are evaluated.
PREDICTIVE ADAPTIVE MOVING TARGET INDICATOR / Barbarossa, Sergio; Picardi, Giovanni. - In: SIGNAL PROCESSING. - ISSN 0165-1684. - 10:1(1986), pp. 83-97. [10.1016/0165-1684(86)90067-8]
PREDICTIVE ADAPTIVE MOVING TARGET INDICATOR
BARBAROSSA, Sergio;PICARDI, Giovanni
1986
Abstract
In the recent past many attempts have been performed in order to obtain the adaptive suppression of correlated interference (clutter) in coherent radar systems. In this paper the spectral estimation with their modern algorithms is considered. By starting from the Wiener optimum filtering technique, a convenient implementation of the linear prediction algorithm is found to be the lattice filter, in double clutter environment. The performance in search radar applications are analyzed and the Improvement Factor losses, due to clutter estimation error, are evaluated.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
