Title :
Performance limits of the innovations-based detection algorithm
Author :
Zhang, Qitu ; Haykin, Simon ; Yip, P.
Author_Institution :
Commun. Res. Lab., McMaster Univ., Hamilton, Ont., Canada
fDate :
11/1/1989 12:00:00 AM
Abstract :
A theoretical evaluation of the performance limits of the innovations-based detection algorithm, which provides an adaptive algorithm for discriminating between two hypotheses parameterized as autoregressive (AR) models, is presented. Two particular cases are considered. One pertains to a situation in which the variance of the interference (modeled as an AR process) acting alone is known a priori. The other pertains to a situation in which no such knowledge is available. Detailed computer simulations are carried out to confirm the practical validity of the theory
Keywords :
interference (signal); signal detection; adaptive algorithm; autoregressive models; computer simulations; innovations-based detection algorithm; interference; performance limits; signal detection; Clutter; Computational modeling; Computer simulation; Detection algorithms; Interference; Radar detection; Signal detection; Signal processing; Technological innovation; Testing;
Journal_Title :
Information Theory, IEEE Transactions on
