Title :
Optimal array processing for non-stationary signals
Author :
Chevalier, Pascal
Author_Institution :
Div. RGS, STS, Thomson-CSF, Gennevilliers, France
Abstract :
The optimal array filtering problem consists mainly of implementing a complex linear and time invariant (TI) filter, optimizing a second order criterion at the output, under some possible constraints and assuming stationary signals. This approach is optimal for stationary signals, but becomes sub-optimal for non-stationary signals for which the optimal complex filters an time variant (TV) and, under some conditions of non-circularity, widely linear (WL). The purpose of this paper is to demonstrate these results, to touch lightly on the implementation problems of TV filters, to give a sense to the classical approach for non-stationary signals and to show, on a particular example borrowed from the radiocommunications field, the interest of WL structures with respect to linear ones in non-stationary environments
Keywords :
array signal processing; filtering theory; optimal systems; spatial filters; stochastic processes; time-varying filters; non-circular signals; non-stationary signals; optimal array filtering problem; optimal array processing; optimal complex filters; time variant filters; widely linear filters; Array signal processing; Constraint optimization; Filtering; Finite impulse response filter; Nonlinear filters; Sensor arrays; Signal processing; Statistical analysis; TV; Vectors;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-3192-3
DOI :
10.1109/ICASSP.1996.550152