Title :
Multisource discrimination using IIR Volterra filtering
Author :
Monin, André ; Salut, Gérard ; Teuliere, Vincent
Author_Institution :
Lab. d´´Analyse et d´´Archit., CNRS, Toulouse, France
fDate :
5/1/2001 12:00:00 AM
Abstract :
This paper exhibits an algorithm based on Volterra-type processing in order to detect several independent sources on the same carrier frequency and to determine the number of them. The use of infinite impulse response (IIR) Volterra filtering to build a suitable discrimination test is dictated by the need of higher-order moments in this type of nonlinear problem, as well as the need of IIR for convergence
Keywords :
IIR filters; Volterra series; filtering theory; frequency modulation; higher order statistics; nonlinear estimation; nonlinear filters; phase modulation; signal detection; IIR Volterra filtering; convergence; discrimination test; higher-order moments; independent sources; infinite impulse response; multisource discrimination; nonlinear problem; Continuous phase modulation; Convergence; Demodulation; Filtering algorithms; Finite impulse response filter; Frequency modulation; IIR filters; Impulse testing; Phase modulation; White noise;
Journal_Title :
Communications, IEEE Transactions on
