Title :
Estimation of arbitrary impulsive interference in the complex state space systems
Author :
Shen, Jun ; Nikias, Chrysostomos L.
Author_Institution :
Signal & Image Process. Inst., Univ. of Southern California, Los Angeles, CA, USA
fDate :
28 Nov- 2 Dec 1994
Abstract :
By applying the Bayesian law to the complex state (impulsive interference) and measurement (data) equations of the stochastic system, the a posteriori density of the state is obtained in closed-form for the given data and computed recursively for arbitrary i.i.d. state noise and any discrete-type measurement noise (multi-level complex signal). Using the L2-norm performance criterion, the corresponding interference estimator is obtained. As an example, a highly impulsive state process driven by noise with symmetric α-stable distribution (0<α⩽2) is estimated and then removed from the measurement data
Keywords :
Bayes methods; interference (signal); noise; recursive estimation; state-space methods; stochastic systems; Bayesian law; IID state noise; L2-norm performance criterion; a posteriori density; arbitrary impulsive interference estimation; closed-form; complex state space systems; discrete-type measurement noise; highly impulsive state process; multi-level complex signal; stochastic system; symmetric α-stable distribution; Density functional theory; Density measurement; Electric variables measurement; Equations; Interference; Noise measurement; Random processes; Signal processing; State estimation; State-space methods;
Conference_Titel :
Global Telecommunications Conference, 1994. GLOBECOM '94. Communications: The Global Bridge., IEEE
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-1820-X
DOI :
10.1109/GLOCOM.1994.513412
